ADCHEM 2006

International Symposium on Advanced Control of Chemical Processes

FINAL PROGRAM

GRAMADO, BRAZIL April 2—5, 2006

ii

The ADCHEM Organizing Committees gratefully acknowledges the support of:

Diamond Sponsor

www.petrobras.com.br

Gold Sponsors

www.braskem.com.br www.refapsa.com.br Silver Sponsors

Bronze Sponsors: Support:

Brazilian Funding Agencies

www.capes.gov.br www.cnpq.br

www.aracruz.com.br

www.chemtech.com.br

www.copesul.com.br

www.aspentech.com

www.ipq.com.br

doyle.chemengr.ucsb.edu

www.enq.ufrgs.br/gimscop

1

INTERNATIONAL PROGRAM COMITTEE

Francis J. Doyle III, USA—Chairman

Program Area Chairmen

MEMBERS

NATIONAL ORGANIZING COMITTEE

Jorge Otávio Trierweiler, Brazil— Chairman

Argimiro R. Secchi (UFRGS) Luciane S. Ferreira (UFRGS) Darci Odloak (USP) Marcelo Farenzena (UFRGS)

Optimization and Scheduling Stratos Pistokopoulos, UK

Batch Process Modeling and Control Richard Braatz, USA

Process Control Applications Robert Parker, USA

Model Based Control Martin Guay, Canada

Modeling and Identification Mayuresh V. Kothare, USA

Process and Control Monitoring Dale Seborg, USA

Allgöwer, Frank (Germany) Hahn, Jürgen (USA) Ogunnaike, Babatunde A. (USA)

Alvarez, Jesus (Mexico) Hasebe, Shinji (Japan) Ohshima, Masahiro (Japan)

Araujo, Ofélia (Brazil) Henson, Mike (USA) Nascimento, Claudio O. (Brazil)

Arkun, Yaman (Turkey) Hoo, Karlene (USA) Palazoglu, Ahmet (USA)

Bandoni, José A. (Argentina) Huang, Biao (Canada) Park, Sunwon (Korea)

Barolo, Max (Italy) Jacobsen, Elling (Sweden) Perrier, Michel (Canada)

Bequette, Wayne (USA) Jorgensen, Sten Bay (Denmark) Preisig, Heinz (Norway)

Bonvin, Dominique (Switzerland) King, Rudibert (Germany) Qin, Joe (USA)

Brambilla, Alessandro (Italy) Kravaris, Costas (Greece) Rawlings, Jim (USA)

Christophides, Panagiotis (USA) Lee, Jay (USA) Romagnoli , Jose (Australia)

Cinar, Ali (USA) Lee, Peter (Australia) Scali, Claudio (Italy)

Daoutidis, Prodromos (USA) Lewin, Danny (Israel) Shah, Shirish L. (Canada)

De Souza Jr., Mauricio (Brazil) Lima, Enrique (Brazil) Skogestad, Sigurd (Norway)

Edgar, Tom (USA) Maciel Filho, Rubens (Brazil) Soroush, Masoud (USA)

Engell, Sebastian (Germany) Marchetti, Jacinto (Argentina) Swartz, Chris Canada)

Forbes, Fraser (Canada) Marlin, Thomas E. (Canada) Thornhill, Nina (U.K.)

Foss, Bjarne (Norway) Marquardt, Wolfgang (Germany) Ydstie, Erik (USA)

Gao, Furong (Hong Kong) McAvoy, Thomas (USA) Yoon, En Sup (Korea)

Gatzke, Edward P. (USA) Morari, Manfred Switzerland) Young, Robert E. USA)

Georgakis, Christos USA) Moro, Lincoln F. (Brazil) Yu, Cheng-Ching (Taiwan)

Giudici, Reinaldo (Brazil) Nikolaou, Mike (USA)

2

General Overview Date Sunday Monday Tuesday Wednesday

Time April 2, 2006 April 3, 2006 April 4, 2006 April 5, 2006

8:30 Plenary II

Sebastian Engell

Plenary III

Claire Tomlin

9:30 Keynote 1: Nina Thornhill

Keynote 2: Frank Allgöwer

Keynote 5: Xiaohua Xia

Keynote 6: B. Srinivasan and Dominique Bonvin

Keynote 9: Andrzej Banaszuk

Keynote 10: Erik Ydstie

10:00 Coffee Break

10:20

Oral Presentations

Session 1.1 Estimation and Monitoring

Session 1.2 Advances in Modeling and

Identification Session 1.3

Model Predictive Control

Oral Presentations

Session 4.1 Biomedical Systems Modeling,

Analysis and Control Session 4.2

Bioprocesses Modeling and Identification

Session 4.3 Estimation and Adaptive

Control

Oral Presentations

Session 7.1 Optimization and Design

Applications Session 7.2

Control of Complex Systems Session 7.3

Process Control

12:00 Lunch Break

13:30

Keynote 3: Ton Backx

Keynote 4: Marianthi Ierapetritou

Keynote 11: Jose Romagnoli

Keynote 12: Jay Lee

14:00 Keynote 7: Cheng-Ching Yu

Keynote 8: Joe Qin

14:00

14:30

Registration Desk is

opened

Oral Presentations

Session 2.1 Optimization and Control of

Biological Systems Session 2.2

Batch Processes Session 2.3

Optimization and Scheduling

Oral Presentations

Session 5.1 Analysis and Control of Separation Processes

Session 5.2 Modeling of Particulate

Systems Session 5.3

Process Monitoring

Oral Presentations

Session 8.1 Petrochemical Systems

Session 8.2 Modeling and Identification

Applications Session 8.3

Performance Assessment of Closed Loop Systems

16:00

16:30

Poster Presentations

Session 3.1 Batch Processes

Session 3.2 Model Based Control

Session 3.3 Process Control

Applications

Poster Presentations

Session 6.1 Modeling and Identification

Session 6.2 Optimization and Scheduling

Session 6.3 Process Monitoring

Closing Ceremony

18:30

19:00 Opening Ceremony

19:30 Plenary I

Tariq Samad

20:30 Cocktail Banquet (Serrrano Convention Center)

Break

3

ADCHEM 2006 SESSION PROGRAM

Plenary Sessions

Attention: All the plenary sessions will be held on Lupicinio Rodrigues Theater.

Sunday April 2nd, 2006

19:00 Opening Ceremony

19:30 Plenary I

20:30 Cocktail Reception (Garda Restaurant)

Lupicinio Rodrigues Theater

Sunday 04/02/06

19:30

Plenary Lecture I

SYSTEM ARCHITECTURE FOR PROCESS AUTOMATION: REVIEW AND TRENDS Tariq Samad, Paul McLaughlin, and Joseph Lu,

Honeywell, USA Chair: Francis J. Doyle III

Monday 04/03/06

8:30

Plenary Lecture II FEEDBACK CONTROL FOR OPTIMAL PROCESS OPERATION

Sebastian Engell, Dortmund University, GERMANY

Chair: Jorge O. Trierweiler

Tuesday 04/04/06

8:30

Plenary Lecture III PARAMETER IDENTIFICATION VIA THE ADJOINT METHOD: APPLICATION TO PROTEIN REGULATORY NETWORKS

Claire Tomlin, Stanford University, USA

Chair: Frank Allgöwer

4

Mon

day

Apr

il 3rd

,200

6—M

orni

ng

08:3

0 Pl

enar

y Le

ctur

e II

(see

pg.

3)

09:3

0

Keyn

ote

1 (T

heat

er)

ADV

ANCE

S AN

D N

EW D

IREC

TIO

NS

IN P

LAN

T–W

IDE

CON

TR

OLL

ER

P ER

FOR

MAN

CE A

SSES

SMEN

T

N.

F. T

horn

hill

and

A. H

orch

, U

nive

rsit

y Co

llege

Lon

don

Chai

r: D

ale

E. S

ebor

g

10:0

0 Br

eak

A

udit

oriu

m

Sess

ion

1.1

– Ap

plic

atio

ns o

f St

ate

Esti

mat

ion

and

Mon

itor

ing

Co-c

hair

s: T

. F.

Edg

ar a

nd C

. G

eorg

akis

10:2

0

Mon

itor

ing

the

Phys

iolo

gica

l Sta

te o

f M

amm

alia

n Ce

ll Pe

rfus

ion

Proc

esse

s by

On–

Line

Est

imat

ion

of In

trac

ellu

lar

Flux

es

O.

Hen

ry,

A.

Kam

en a

nd M

. Pe

rrie

r,

Ecol

e Po

lyte

chni

que

de M

ontr

eal

10:4

0

Obs

erve

r D

esig

n us

ing

Boun

dary

Inje

ctio

ns f

or P

ipel

ine

Mon

itor

ing

and

Leak

Det

ecti

on

O.

M.

Aam

o, J

. Sa

lves

en a

nd B

. A

. Fo

ss,

Nor

weg

ian

Uni

vers

ity

of S

cien

ce a

nd T

echn

olog

y

11:0

0

Firs

t Pr

inci

ples

Inva

rian

ts f

or A

sym

ptot

ic O

bser

vers

in

Chem

ical

Rea

ctor

s F.

Cou

enne

, C.

Jal

lut

and

D.

Doc

hain

, U

nive

rsit

é Cl

aude

Ber

nard

Lyo

n 1,

Uni

vers

ite

Cath

oliq

ue d

e Lo

uvai

n Ba

tim

ent

11:2

0

Cont

rol o

f Co

ntin

uous

Rea

ctor

s W

ith

Non

–Mon

oton

ic R

eact

ion

Rate

J.

Alv

arez

, J.

Dia

z–Sa

lgad

o an

d J.

Mor

eno,

U

nive

rsid

ad A

utón

oma

de M

adri

d

11:4

0

Rota

ry K

iln P

rodu

ct Q

ualit

y Fo

reca

stin

g Ba

sed

on F

lam

e Im

agin

g

C. D

uche

sne,

A.

Des

bien

s an

d G

. Sz

atva

nyi,

U

nive

rsit

e La

val

12:0

0 Lu

nch

(Gar

da R

esta

uran

t)

Brea

k Br

eak

Room

I Ro

om II

Sess

ion

1.2

– Ad

vanc

es in

Mod

elin

g an

d Id

enti

fica

tion

Co-c

hair

s: B

. H

uang

and

P.

R. B

arro

s

Sess

ion

1.3

– M

odel

Pre

dict

ive

Cont

rol

Co

-cha

irs:

J.

F. F

orbe

s an

d M

. H

ovd

A Co

mbi

ned

Appr

oach

to

Syst

em Id

enti

fica

tion

of

a Cl

ass

of

Hyb

rid

Syst

em

P. E

gbun

onu

and

M.

Gua

y,

Que

en's

Uni

vers

ity

An A

naly

tica

l Sol

utio

n to

Mul

tiva

riab

le N

onlin

ear

MPC

for

Se

cond

–Ord

er L

ague

rre

Syst

ems

A.

L. A

ntoi

ne a

nd R

. S.

Par

ker,

U

nive

rsit

y of

Pit

tsbu

rgh

Para

met

er a

nd D

elay

Est

imat

ion

of C

onti

nuou

s–Ti

me

Mod

els

from

Irre

gula

rly

Sam

pled

Out

put S. A

hmed

, B.

Hua

ng a

nd S

. L.

Sha

h,

Uni

vers

ity

of A

lber

ta

Feas

ible

Mod

el P

redi

ctiv

e Co

ntro

l wit

h Bo

unde

d D

istu

rban

ces

M.

Hov

d,

Nor

weg

ian

Uni

vers

ity

of S

cien

ce a

nd T

echn

olog

y

Dat

a–Ba

sed

Unc

erta

inty

Mod

elin

g by

Con

vex

Opt

imiz

atio

n Te

chni

ques

K.

E.

Häg

gblo

m,

Åbo

Aka

dem

i U

nive

rsit

y

Non

conv

ex O

ptim

izat

ion

and

Robu

stne

ss in

Rea

ltim

e M

odel

Pre

dict

ive

Cont

rol

D.

DeH

aan

and

M.

Gua

y,

Que

en's

Uni

vers

ity

Clos

ed L

oop

Cont

inuo

us–T

ime

FOPT

D Id

enti

fica

tion

usi

ng

Tim

e–Fr

eque

ncy

Dat

a fr

om R

elay

Exp

erim

ents

G

. A

ciol

i Jr

Mar

cus

A.

R. B

erge

r Pé

ricl

es R

. Ba

rros

, U

nive

rsid

ade

Fede

ral

de C

ampi

na G

rand

e

Exte

nded

Rob

ust

Mod

el P

redi

ctiv

e Co

ntro

l for

In

tegr

atin

g Sy

stem

s A

.H.

Gon

zále

z, J

.L.

Mar

chet

ti a

nd D

. O

dloa

k,

Uni

vers

idad

Nac

iona

l de

l Li

tora

l, U

nive

rsit

y of

São

Pau

lo

Sens

itiv

ity

of B

ifur

cati

on T

rait

s to

Mod

el P

aram

eter

s in

Pol

y–Be

ta–

Hyd

roxy

buty

rate

Pro

duct

ion M

. A

. Pi

nto

and

C. D

. Im

man

uel,

Im

peri

al C

olle

ge L

ondo

n

Gen

eral

ized

Pre

dict

ive

Cont

rol i

n Fa

st–r

ate

Sing

le–r

ate

and

Inpu

t M

ulti

plex

Typ

e M

ulti

rate

Sys

tem

T.

Sat

o an

d A

. In

oue,

U

nive

rsit

y of

Hyo

go

Lunc

h (G

arda

Res

taur

ant)

Lu

nch

(Gar

da R

esta

uran

t)

Keyn

ote

2 (R

oom

I)

GO

OD O

R B

AD?

WH

EN IS

PLA

NT N

ON

LIN

EAR

ITY A

N O

BST

ACLE

FO

R C

ON

TR

OL?

T.

Sch

wei

ckha

rdt

and

F. A

llgöw

er,

Uni

vers

ity

of S

tutt

gart

Ch

air:

Mar

tin

Gua

y

5

Mon

day

Apr

il 3rd

,200

6—M

orni

ng

N

otes

6

Mon

day

Apr

il 3rd

,200

6—A

fter

noon

13:3

0

Keyn

ote

3 (T

heat

er)

IND

UST

RIA

L CH

ALLE

NG

ES IN

MO

DEL

ING O

F PR

OCE

SSES

AN

D

MO

DEL

RED

UC

TIO

N

T. B

ackx

, O

. Bo

sgra

and

W.

Mar

quar

dt,

Eind

hove

n U

nive

rsit

y of

Tec

hnol

ogy,

RW

TH A

ache

n U

nive

rsit

y

Chai

r: A

lain

Van

deW

ouw

er

A

udit

oriu

m

14:0

0 Se

ssio

n 2.

1 –

Opt

imiz

atio

n an

d Co

ntro

l of

Biol

ogic

al

Syst

ems

Co-c

hair

s: I.

Que

inne

c an

d A.

Van

deW

ouve

r

14:0

0

Dyn

amic

Ana

lysi

s an

d Co

ntro

l of

Chem

ical

and

Bio

chem

ical

Re

acti

on N

etw

orks

I.

Ote

ro–M

uras

, G

. Sz

eder

kény

i, A

. A

. A

lons

o an

d K.

M.

Han

gos,

Sp

anis

h Co

unci

l fo

r Sc

ient

ific

Res

earc

h

14:2

0

A Ri

sk M

anag

emen

t Cr

iter

ion

for

an U

nsta

ble

Was

tew

ater

Tr

eatm

ent

Proc

ess

J. H

ess,

O.

Bern

ard

and

M.

Dju

ric,

Fr

ench

Res

earc

h In

stit

ute

of C

ompu

ter

Scie

nce

and

Aut

omat

ic C

ontr

ol

14:4

0

Cont

rol o

f H

igh–

Solid

s Sa

ccha

rifi

cati

on u

sing

a M

odel

–Bas

ed

Met

hodo

logy

for

Fed

–Bat

ch O

pera

tion

D

. B.

Hod

ge,

M.

N.

Kari

m,

D.

J. S

chel

l an

d J.

D.

McM

illa

n,

Nat

iona

l Re

new

able

Ene

rgy

Labo

rato

ry,

Texa

s Te

ch U

nive

rsit

y

15:0

0

ITSE

Obs

erve

rs f

or B

atch

Pro

cess

es.

A W

aste

wat

er T

reat

men

t Ca

se S

tudy

G

. A

cuna

and

D.

Doc

hain

,

Uni

vers

idad

de

Sant

iago

de

Chil

e

15:2

0 Ro

bust

Ada

ptiv

e Co

ntro

l of

Yeas

t Fe

d–Ba

tch

Cult

ures

F.

Ren

ard,

A.

Vand

eWou

wer

and

M.

Perr

ier,

Fa

cult

é Po

lyte

chni

que

de M

ons

15:4

0

Out

put

Trac

king

of

Biop

roce

sses

Thr

ough

Rec

ircu

lati

on w

ith

Unk

now

n In

put

Conc

entr

atio

n A

. Ra

papo

rt,

F. M

azen

c an

d J.

Har

man

d,

Fren

ch N

atio

nal

Inst

itut

e fo

r A

gric

ultu

ral

Rese

arch

16:0

0 Po

ster

Ses

sion

1.

Batc

h Pr

oces

ses

Room

I Ro

om II

Sess

ion

2.2

– Ba

tch

Proc

esse

s

Co-c

hair

s: S

. Pa

lank

i and

M.

Hov

d

Sess

ion

2.3

– O

ptim

izat

ion

and

Sche

dulin

g

Co-c

hair

s: M

. Ie

rape

trit

ou a

nd K

. Ko

uram

as

Faul

t D

etec

tion

and

Dia

gnos

is in

Indu

stri

al F

ed-B

atch

Cel

l Cu

ltur

e

J. C

. G

unth

er,

D.

E. S

ebor

g an

d J.

S.

Conn

er,

Uni

vers

ity

of C

alif

orni

a, S

anta

Bar

bara

Opt

imal

Ope

rati

on o

f Et

hyle

ne P

olym

eriz

atio

n Re

acto

rs f

or T

ailo

red

MW

D M

. A

stea

suai

n an

d A

. Br

ando

lin,

Pl

anta

Pil

oto

de In

geni

eria

Qui

mic

a

Batc

h Pr

oces

s M

onit

orin

g us

ing

Mul

tibl

ock

Mul

tiw

ay

Prin

cipa

l Com

pone

nt A

naly

sis

S. P

erk

and

A.

Cina

r,

Illin

ois

Inst

itut

e of

Tec

hnol

ogy

Opt

imal

Ope

rati

on o

f an

LN

G P

lant

J.

B.

Jens

en a

nd S

. Sk

oges

tad,

N

orw

egia

n U

nive

rsit

y of

Sci

ence

and

Tec

hnol

ogy

2D M

odel

Pre

dict

ive

Iter

ativ

e Le

arni

ng C

ontr

ol S

chem

es

for

Batc

h Pr

oces

ses

J. S

hi,

F. G

ao a

nd T

. J.

Wu,

H

ong

Kong

Uni

vers

ity

of S

cien

ce a

nd T

echn

olog

y

Faci

lity

Loca

tion

Pro

blem

s: M

odel

, Al

gori

thm

, an

d Ap

plic

atio

n to

Com

pres

sor

Allo

cati

on

E. C

ampo

noga

ra,

M.

P. d

e Ca

stro

and

A.

Pluc

enio

, Fe

dera

l U

nive

rsit

y of

San

ta C

atar

ina

Scal

e-U

p of

Bat

ch P

roce

sses

Via

Dec

entr

aliz

ed C

ontr

ol

A.

Mar

chet

ti,

D.

Bonv

in a

nd M

. A

mrh

ein,

Ec

ole

Poly

tech

niqu

e Fé

déra

le d

e La

usan

ne

Capa

city

Man

agem

ent

in t

he C

hem

ical

Sup

ply

Chai

n P.

K.

Nar

ahar

iset

ti,

I. A

. Ka

rim

i, a

nd R

. Sr

iniv

asan

, In

stit

ute

of C

hem

ical

and

Eng

inee

ring

Sci

ence

s

Real

-Tim

e D

ynam

ic O

ptim

izat

ion

of N

on-L

inea

r Ba

tch

Syst

ems

N.

Pete

rs,

M.

Gua

y an

d D

. D

eHaa

n,

Que

en's

Uni

vers

ity

Proc

ess

Opt

imiz

atio

n an

d Co

ntro

l Und

er U

ncer

tain

ty:

A Ch

ance

Con

stra

ined

Pro

gram

min

g Ap

proa

ch

H.

Are

llan

o-G

arci

a, T

. Ba

rz a

nd G

.Woz

ny,

Berl

in U

nive

rsit

y of

Tec

hnol

ogy

Opt

imal

Gra

de T

rans

itio

n in

Pol

ymer

izat

ion

Reac

tors

: A

Com

para

tive

Cas

e St

udy

N.

Padh

iyar

, S.

Bha

rtiy

a an

d R.

D.

Gud

i,

Indi

an In

stit

ute

of T

echn

olog

y Bo

mba

y

Post

er S

essi

on 2

. M

odel

Bas

ed C

ontr

ol

Post

er S

essi

on 3

. Pr

oces

s Co

ntro

l App

licat

ions

Keyn

ote

4 (R

oom

I)

SHO

RT–T

ERM

SCH

EDU

LIN

G O

F CH

EMIC

AL P

RO

CES

S I N

CLU

DIN

G U

NC

ERT

AIN

TY

M.

G.

Iera

petr

itou

and

Z.

Jia,

Ru

tger

s U

nive

rsit

y

Ch

air:

Cha

rles

D.

Imm

anue

l

7

Mon

day

Apr

il 3rd

,200

6—A

fter

noon

Not

es

8

POSTER SESSION 3.1: BATCH PROCESSES

P3.1-1

Batch/Semi-Batch Process Fault Detection and Diagnosis using Orthogonal Nonlinear Multi-Way PCA: Application to an Emulsion Co-Polymerization Process

A. Maulud and J. Romagnoli, University of Sydney

P3.1-2 An Adjoined Multi-DPCA Approach for Online Monitoring of Fed-Batch Processes

N. Y. Seng and R. Srinivasan, National University of Singapore

P3.1-3 Prediction of Radicals of Critical Length in Emulsion Polymerization Processes

Y. R. Mariano, E. Lopes Casella and M. Tvrzska de Gouvea, Universidade Presbiteriana Mackenzie

P3.1-4 A Kinetic Mathematical Model of Kraft Pulping Process for Control and Optimization Application

N. V. Polowski, E. C. Vasco de Toledo and R. M. Filho, University of Campinas

P3.1-5 Dynamic Optimization of Molecular Weight Distribution in Batch Polymerization Reactors

A. Krallis, D. Meimaroglou, V. Saliakas, C. Chatzidoukas and C. Kiparissides, Aristotle University of Thessaloniki

POSTER SESSION 3.2: MODEL BASED CONTROL

P3.2-1 Adaptive Robust Control for a Class of Uncertain Time-Delay Systems via Output Feedback

H. Wu, Hiroshima Prefectural University

P3.2-2 Adaptive Control of a Neutralization Reactor

J. Figueroa, J. Cousseau, S. Werner and T. Laakso, Universidad Nacional del Sur

P3.2-3 Robust MPC with Output Feedback and Realigned Model

J. M. Perez and D. Odloak, Petrobras Cenpes

P3.2-4 Design of Robust Gain-Scheduled MPC Controllers for Nonlinear Processes

J. Gao,and H. M. Budman, University of Waterloo

P3.2-5 Towards Robust Design of Closed-Loop Nonlinear Systems with Input and State Constraints

J. Gerhard, W. Marquardt and M. Mönnigmann, RWTH Aachen University

P3.2-6 A Control Strategy using a CPWL NOE Structure

L. R. Castro, J. L. Figueroa and O. E. Agamennoni, Universidad Nacional del Sur

P3.2-7 A State Space Approach for Boundary Control of Distributed Parameter Systems

M. Dillabough, H. Shang and P. James McLellan, Laurentian University

P3.2-8 Control of a Fedbatch Bioprocess using Nonlinear Model Predictive Control

L. A. Álvarez, J. F. García and D. A. Urrego, Universidad Nacional de Colombia

P3.2-9 Multivariable Control Strategy Based on Bifurcation Analysis of an Industrial Gas-Phase Polymerization Reactor

N. P. G. Salau, A. R. Secchi, J. O. Trierweiler and G. A. Neumann, Universidade Federal do Rio Grande do Sul

P3.2-10 Predictive Control of Asymmetrical Processes

C. de Prada and S. Cristea, University of Valladolid

Monday April 3rd,2006—Poster Session Chair: Francis J. Doyle III

9

POSTER SESSION 3.3: PROCESS CONTROL APPLICATIONS

P3.3-4 Injection Velocity Control Based-on an Iterative Learning and Feedback Combined Controller

Y. Yang and F. Gao, Hong Kong University of Science and Technology

P3.3-5 Controlling the Performance of a Cyclone Oil-Water Separation System

G. Cavalcanti, N. Magno, A. Calil and E. L. Lima, Petrobras

P3.3-6 Robust MPC of the Refining Stage of an Electric Arc Furnace

L.C. Coetzee, I.K. Craig, University of Pretoria

P3.3-7 Dynamics and Control of Reactive Distillation Configurations for Acetic Acid Esterification

S.-B. Hung, Y.-T. Tang, Y.-W. Chen, I-K. Lai, W.-J. Hung, H.-P. Huang, M.-J. Lee and C.-C. Yu, National Taiwan University of Science and Technology

P3.3-8 A Wavelet Filtering Application For On-Line Dynamic Data Reconciliation

K.-Y. Luo and H.-P. Huang, National Taiwan University of Science and Technology

P3.3-9 Constrained Nonlinear Model Predictive Control for Practical Application

A. G. Montandon1, R. M. Borges and H. M. Henrique, Federal University of Uberlândia

P3.3-10 Multivariable Subspace Identification and Predictive Control of a Heat-Integrated Superfractionator

G. Pannocchia A. Micchi, R. Bulleri, A. Brambilla and G. Marchetti, University of Pisa

P3.3-11 Control Strategies Evaluation for a Three-Phase Hydrogenation Catalytic Reactor

D. N. C. Melo, E. C. Vasco de Toledo, M. M. Santos and R. M. Filho, State University of Campinas

P3.3-12 On Input-Output Selection for Multiloop Control: from RGA to ROMA

A. Balestrino, A. Landi, University of Pisa

P3.3-13 Design and Control of a Power Generation System for a Fuel-Cell Powered Automobile

P. K. Kolavennu, S. Palanki and J. C. Telotte, Florida State University

P3.3-14 Output-Feedback Control of Continuous Polymer Reactors with Continuous and Discrete Measurements,

P. Gonzalez and J. Alvarez, Universidad Autonoma Metropolitana-Iztapalapa

P3.3-15 Auto-Tuning of PID Controllers for MIMO Processes by Relay Feedback

L. Campestrini, P. R. Barros and A. S. Bazanella, Universidade Federal do Rio Grande do Sul

P3.3-16 Regulatory Control of a Pilot Rotary Kiln for Activated Carbon Production

O. A. Ortiz, N. Aros and I. G. Suarez, Universidad Nacional de San Juan

P3.3-17 Development of an Extruder Based Melt Index Soft Sensor

I. R. Alleyne, S. Shah, U. Sundararaj and B. West, University of Alberta

P3.3-1 Adaptive Control of Three-Tank-System: Polynomial Approach

M. Kubalcik and V. Bobal, Tomas Bata University

P3.3-2 Agent-Based Control of Spatially Distributed Chemical Reactor Networks

E. Tatara, M. North, C. Hood, F. Teymour and A. Cinar, Illinois Institute of Technology

P3.3-3 Control of Liquid Tanks using Decentralized Approach with Logical Supervisor

P. Chalupa and V. Bobál, Tomas Bata University

Monday April 3rd,2006—Poster Session Chair: Francis J. Doyle III

10

Tues

day

Apr

il 4th

,200

6—M

orni

ng

08:3

0 Pl

enar

y Le

ctur

e III

(se

e pg

. 3)

09:3

0

Keyn

ote

5 (T

heat

er)

MO

DEL

ING O

F H

IV IN

FECT

ION:

VAC

CIN

E R

EAD

INES

S, D

RU

G

E FFE

CTIV

ENES

S AN

D T

HER

APEU

TIC

AL F

AILU

RES

X.

Xia

, U

nive

rsit

y of

Pre

tori

a

Chai

r: R

ober

t S.

Par

ker

10:0

0 Br

eak

A

udit

oriu

m

Se

ssio

n 4.

1 –B

iom

edic

al S

yste

ms

Mod

elin

g, A

naly

sis

and

Cont

rol

Co-c

hair

s: A

. Ci

nar

and

D.

E. S

ebor

g

10:2

0

Iden

tifi

cati

on o

f Li

near

Dyn

amic

Mod

els

for

Type

1 D

iabe

tes:

A

Sim

ulat

ion

Stud

y D

. A

. Fi

nan

and

D.

E. S

ebor

g,

Uni

vers

ity

of C

alif

orni

a, S

anta

Bar

bara

10:4

0

Dyn

amic

Mod

elin

g of

Exe

rcis

e Ef

fect

s on

Pla

sma

Glu

cose

and

In

sulin

Lev

els

A.

Roy

and

R. S

. Pa

rker

, U

nive

rsit

y of

Pit

tsbu

rgh

11:0

0

Path

way

s fo

r O

ptim

izat

ion-

Base

d D

rug

Del

iver

y Sy

stem

s an

d D

evic

es

L. B

leri

s, P

. Vo

uzis

, M

. V.

Arn

old

and

M.

V. K

otha

re,

Lehi

gh U

nive

rsit

y

11:2

0

Flex

ible

Run

-to-

Run

Stra

tegy

for

Insu

lin D

osin

g in

Typ

e 1

Dia

beti

c Su

bjec

ts

C. C

. Pa

lerm

, H

. Zi

sser

, L.

Jov

anov

ic a

nd F

. J.

Doy

le,I

II,

Uni

vers

ity

of C

alif

orni

a, S

anta

Bar

bara

11:4

0

Non

linea

r M

odel

Pre

dict

ive

Cont

rol f

or O

ptim

al D

isco

ntin

uous

Dru

g D

eliv

ery

N.

Hud

on,

M.

Gua

y, M

. Pe

rrie

r an

d D

. D

ocha

in,

Que

en's

Uni

vers

ity

12:0

0 Lu

nch

Brea

k Br

eak

Room

I Ro

om II

Sess

ion

4.2

– Bi

opro

cess

Mod

elin

g an

d Id

enti

fica

tion

Co-c

hair

s: A

. Va

ndeW

ouw

er a

nd M

. Pe

rrie

r

Sess

ion

4.3

– Es

tim

atio

n an

d Ad

apti

ve C

ontr

ol

Co-c

hair

s: E

. Yd

stie

and

H.

Budm

an

Opt

imal

Exp

erim

ent

Des

ign

in B

iopr

oces

s M

odel

ling:

From

Th

eory

to

Prac

tice

A

. M

. Ca

ppuy

ns,

K. B

erna

erts

, I.

Y.

Smet

s, O

. O

na,

E. P

rins

en,

J.

Vand

erle

yden

and

J.

F. V

an Im

pe,

Kath

olie

ke U

nive

rsit

eit

Leuv

en

Tuni

ng a

n Ad

apti

ve C

ontr

olle

r us

ing

a Ro

bust

Con

trol

Ap

proa

ch

J. H

uebs

ch a

nd H

. Bu

dman

, U

nive

rsit

y of

Wat

erlo

o

Dyn

amic

Mod

ellin

g of

a B

iofi

lter

Use

d fo

r N

itri

fica

tion

of

Dri

nkin

g W

ater

at

Low

Infl

uent

Am

mon

ia C

once

ntra

tion

s I.

Que

inne

c, J

. C

. O

choa

, E.

Pau

l an

d A

. Va

ndeW

ouw

er,

Le C

entr

e N

atio

nal

de l

a Re

cher

che

Scie

ntif

ique

,

Facu

lté

Poly

tech

niqu

e de

Mon

s

Para

met

er C

onve

rgen

ce in

Ada

ptiv

e Ex

trem

um

Seek

ing

Cont

rol

V. A

deto

la a

nd M

. G

uay,

Q

ueen

's U

nive

rsit

y

Dyn

amic

PCA

for

Pha

se Id

enti

fica

tion

of

Rifa

myc

in B

Fe

rmen

tati

on in

Mul

ti-S

ubst

rate

Com

plex

Med

ia

X. T

. D

oan,

R.

Srin

ivas

an,

P. M

. Ba

pat,

and

P.

P. W

angi

kar

Inst

itut

e of

Che

mic

al a

nd E

ngin

eeri

ng S

cien

ces

Geo

met

ric

Esti

mat

ion

of T

erna

ry D

isti

llati

on C

olum

ns

A.

Puli

s, C

. Fe

rnan

dez,

R.

Bara

tti,

and

J.

Alv

arez

U

nive

rsid

ad A

uton

oma

Met

ropo

lita

na-I

ztap

alap

a

A N

ew M

odel

of

Phen

ol B

iode

grad

atio

n an

d Ac

tiva

ted

Slud

ge G

row

th in

Fed

batc

h Cu

ltur

es

C. B

en-Y

ouss

ef,

J. W

aiss

man

and

G.

Vázq

uez,

U

nive

rsid

ad P

olit

écni

ca d

e Pa

chuc

a

Fini

te T

ime

Obs

erve

r fo

r N

onlin

ear

Syst

ems

F.

Sau

vage

, M

. G

uay

and

D.

Doc

hain

, Q

ueen

's U

nive

rsit

y, U

nive

rsit

e Ca

thol

ique

de

Louv

ain

Dyn

amic

Est

imat

ion

and

Unc

erta

inty

Qua

ntif

icat

ion

for

Mod

el-B

ased

Con

trol

of

Dis

cret

e Sy

stem

s J.

Gân

dara

, B.

Dua

rte

and

N.

M.

C. O

live

ira,

U

nive

rsid

ade

de C

oim

bra

Lunc

h

Lunc

h

Keyn

ote

6 (R

oom

I)

STAB

ILIT

Y A

ND C

ON

TR

OLA

BILI

TY O

F BA

TCH

PR

OCE

SSES

B.

Sri

niva

san

and

D.

Bonv

in,

Ecol

e Po

lyte

chni

que

Fédé

rale

de

Laus

anne

Chai

r: H

ecto

r Bu

dman

11

Tues

day

Apr

il 4th

,200

6—M

orni

ng

N

otes

12

Tues

day

Apr

il 4th

,200

6—A

fter

noon

14:0

0

Keyn

ote

7 (T

heat

er)

MU

LTIV

ARIA

BLE

CON

TR

OLL

ER P

ERFO

RM

ANCE

MO

NIT

OR

ING

S. J

. Q

in a

nd J

. Yu

, U

nive

rsit

y of

Tex

as a

t Au

stin

Chai

r: D

ale

E. S

ebor

g

A

udit

oriu

m

Se

ssio

n 5.

1 –

Anal

ysis

and

Con

trol

of

Sepa

rati

on P

roce

sses

Co

-cha

irs:

B.

A. O

gunn

aike

and

J.

A. M

andl

er

14:3

0

Para

met

er a

nd S

tate

Est

imat

ion

in C

hrom

atog

raph

ic S

MB

Proc

esse

s w

ith

Indi

vidu

al C

olum

ns a

nd N

onlin

ear

Adso

rpti

on

Isot

herm

s A

. Kü

pper

and

S.

Enge

ll,

Uni

vers

ität

Dor

tmun

d

14:5

0

Para

met

ric

Mod

el P

redi

ctiv

e Co

ntro

l of

Air

Sepa

rati

on

J. A

. M

andl

er,

N.

A.

Bozi

nis,

V.

Saki

zlis

, E.

N.

Pist

ikop

oulo

s, A

. L.

Pr

enti

ce,

H.

Ratn

a an

d R.

Fre

eman

, A

ir P

rodu

cts

and

Chem

ical

s, In

c

15:1

0 St

abili

zing

Con

trol

of

na In

tegr

ated

4-P

rodu

ct K

aibe

l Col

umn

J. S

tran

dber

g an

d S.

Sko

gest

ad,

Nor

weg

ian

Uni

vers

ity

of S

cien

ce a

nd T

echn

olog

y

15:3

0

Dyn

amic

s an

d Co

ntro

l of

Hea

t In

tegr

ated

Dis

tilla

tion

Col

umn

(HID

IC)

T. F

ukus

him

a, M

. Ka

no,

O.

Tono

mur

a an

d S.

Has

ebe,

Ky

oto

Uni

vers

ity

15:5

0

Rigo

rous

Sim

ulat

ion

and

Mod

el P

redi

ctiv

e Co

ntro

l of

a Cr

ude

Dis

tilla

tion

Uni

t G

. Pa

nnoc

chia

, L.

Gal

line

lli,

A.

Bram

bill

a, G

. M

arch

etti

and

F.

Triv

ella

, U

nive

rsit

y of

Pis

a

16:1

0

16:3

0 Po

ster

Ses

sion

4.

Mod

elin

g an

d Id

enti

fica

tion

Room

I Ro

om II

Sess

ion

5.2

– M

odel

ing

of P

arti

cula

te S

yste

ms

Co-c

hair

s: C

. Ki

pari

ssid

es a

nd R

. M

. Fi

lho

Sess

ion

5.3

– Pr

oces

s M

onit

orin

g

Co-c

hair

s: N

. Th

ornh

ill a

nd H

. Bu

dman

Chal

leng

es o

f M

odel

ling

a Po

pula

tion

Bal

ance

Usi

ng W

avel

et

J. U

tom

o, N

. Ba

lliu

and

M.

O.

Tade

, Cu

rtin

Uni

vers

ity

of T

echn

olog

y

A D

ata-

Base

d M

easu

re f

or In

tera

ctio

ns in

M

ulti

vari

ate

Syst

ems

M.

Ross

i, A

. K.

Tan

gira

la,

S. L

. Sh

ah a

nd C

. Sc

ali,

U

nive

rsit

y of

Alb

erta

Dev

elop

men

t of

a D

ynam

ic M

ulti

-Com

part

men

t M

odel

for

the

Pr

edic

tion

of

Part

icle

Siz

e D

istr

ibut

ion

and

Mol

ecul

ar P

rope

rtie

s in

a

Cata

lyti

c O

lefi

n Po

lym

eriz

atio

n FB

R G

. D

ompa

zis,

V.

Kane

llop

oulo

s an

d C.

Kip

aris

side

s,

Ari

stot

le U

nive

rsit

y of

The

ssal

onik

i

Issu

es in

On-

Line

Impl

emen

tati

on o

f a

Clos

ed L

oop

Perf

orm

ance

Mon

itor

ing

Syst

em

C. S

cali

, F.

Uli

vari

and

A.

Fari

na,

Uni

vers

ity

of P

isa

Dis

trib

utio

nal U

ncer

tain

ty A

naly

sis

of a

Bat

ch C

ryst

alliz

atio

n Pr

oces

s us

ing

Pow

er S

erie

s an

d Po

lyno

mia

l Cha

os E

xpan

sion

s Z.

K.

Nag

y an

d R.

D.

Braa

tz,

Loug

hbor

ough

Uni

vers

ity,

Uni

vers

ity

of Il

lino

is

Stea

dy-S

tate

Det

ecti

on f

or M

ulti

vari

ate

Syst

ems

Base

d on

PCA

and

Wav

elet

s L.

Cau

mo,

A.

O.

Kem

pf a

nd J

. O

. Tr

ierw

eile

r,

Uni

vers

idad

e Fe

dera

l do

Rio

Gra

nde

do S

ul

Dyn

amic

Evo

luti

on o

f th

e Pa

rtic

le S

ize

Dis

trib

utio

n in

Par

ticu

late

Pr

oces

ses

D.

Mei

mar

oglo

u, A

.I.

Rous

sos,

and

C.

Kipa

riss

ides

A

rist

otle

Uni

vers

ity

of T

hess

alon

iki

Faul

t D

etec

tion

Usi

ng P

roje

ctio

n Pu

rsui

t Re

gres

sion

(PP

R):

A Cl

assi

fica

tion

Ver

sus

an

Esti

mat

ion

Base

d Ap

proa

ch

S. L

ou,

T. D

ueve

r an

d H

. Bu

dman

, U

nive

rsit

y of

Wat

erlo

o

Non

linea

r O

bser

ver

for

the

Reco

nstr

ucti

on o

f Cr

ysta

l Siz

e D

istr

ibut

ions

in P

olym

orph

ic C

ryst

alliz

atio

n Pr

oces

ses

T. B

akir

, S.

Oth

man

, G

. Fe

vott

e an

d H

. H

amm

ouri

, U

nive

rsit

é Cl

aude

Ber

nard

Lyo

n 1

Faul

t D

etec

tion

usi

ng C

orre

spon

denc

e An

alys

is:

Appl

icat

ion

to T

enne

ssee

Eas

tman

Cha

lleng

e Pr

oble

m K.

P.

Det

roja

, R.

D.

Gud

i an

d S.

C.

Patw

ardh

an,

Indi

an In

stit

ute

of T

echn

olog

y Bo

mba

y

Calc

ulat

ion

of t

he M

olec

ular

Wei

ght

– Lo

ng C

hain

Bra

nchi

ng

Dis

trib

utio

n in

Bra

nche

d Po

lym

ers

A.

Kral

lis

and

C. K

ipar

issi

des,

A

rist

otle

Uni

vers

ity

of T

hess

alon

iki

Usi

ng S

ub M

odel

s fo

r D

ynam

ic D

ata

Reco

ncili

atio

n L.

Lac

hanc

e, A

. D

esbi

ens

and

D.

Hod

ouin

, U

nive

rsit

e La

val

Keyn

ote

8 (R

oom

I)

PSE

REL

EVAN

T IS

SUES

IN S

EMIC

ON

DU

CTO

R M

ANU

FACT

UR

ING:

A PPL

ICAT

ION T

O R

APID

TH

ERM

AL P

RO

CESS

ING

C. C

. Yu

, A.

J.

Su,

J. C

. Je

ng,

H.

P. H

uang

, S.

Y.

Hun

g an

d C.

K.

Chao

N

atio

nal T

aiw

an U

nive

rsit

y

Ch

air:

Rob

ert

S. P

arke

r

Post

er S

essi

on 5

. O

ptim

izat

ion

and

Sche

dulin

g Po

ster

Ses

sion

6.

Proc

ess

Mon

itor

ing

13

Tues

day

Apr

il 4th

,200

6—A

fter

noon

Not

es

14

POSTER SESSION 6.1: MODELING AND IDENTIFICATION

P6.1-1

Control Orientated B-Spline Modelling of a Dynamic MWD System H. Yue, H. Wang, L. Cao, University of Manchester

P6.1-2 Prediction of Glycosylation Site-Occupancy Using Artificial Neural Networks

R. S. Senger and M. N. Karim, Texas Tech University

P6.1-3 Real Time Tracking of Ladle Furnaces: An Analytical Approach

J. R. Zabadal, R. L. Garcia, and M. G. Salgueiro, Universidade Federal do Rio Grande do Sul

P6.1-4 Solving Water Pollution Problems Using Auto-Bäcklund Transformations

J. R. Zabadal, R. L. Garcia, and M. G. Salgueiro, Universidade Federal do Rio Grande do Sul

P6.1-5 Identification of Uncertain Wiener Systems

J. Figueroa, S. Biagiola and O. Agamennoni, Universidad Nacional del Sur

P6.1-6 A Comparative Study of Prediction of Elemental Composition of Coal using Empirical Modelling

A. Saptoro, H.B. Vuthaluru and M.O. Tade, Curtin University of Technology

P6.1-7 Energy Based Discretization of an Adsorption Column

A. Baaiu, F. Couenne, L. Lefevre, Y. Le Gorrec and M. Tayakout, Université Lyon 1, Le Centre National de la Recherche Scientifique

P6.1-8 Inference of Oil Content in Petroleum Waxes by Artificial Neural Networks

A. D. M. Lima, D. do C.S. Silva, V. S. Silva and M. B. De Souza Jr., Petrobras

P6.1-9 Short and Long Timescales in Recycles

H. A Preisig, Norwegian University of Science and Technology

P6.1-10 Finite Automata from First-Principle Models: Computation of Min and Max Transition Times

H. A Preisig, Norwegian University of Science and Technology

P6.1-11 Neural Modeling as a Tool to Support Blast Furnace Ironmaking

F. Tadeu, P. de Medeiros, A. Pitasse da Cunha and A. M. F. Fileti, Companhia Siderúrgica Nacional, University of Campinas, MetalFlexi

P6.1-12 An Inverse Artificial Neural Network Based Modelling Approach for Controlling HFCS Isomerization Process

M. Yuceer and R. Berber, Ankara University

P6.1-13 An Algorithm for Automatic Selection and Estimation of Model Parameters

A. R. Secchi, N. S. M. Cardozo, E. Almeida and T. F. Finkler, Universidade Federal do Rio Grande do Sul

P6.1-14 Rigorous and Reduced Dynamic Models of the Fixed Bed Catalytic Reactor for Advanced Control Strategies

E. C. Vasco de Toledo, J. M. F. da Silva, J. F. da C. A. Meyer and R. M. Filho, State University of Campinas

POSTER SESSION 6.2: OPTIMIZATION AND SCHEDULING

P62-1 Modeling of NLP Problems of Chemical Processes Described By ODE’s

M. T. de Gouvêa and D. Odloak, Universidade Presbiteriana Mackenzie

P62-2 Optimal Multi-period Design and Opertation of Multi-product Batch Plants

M. S. Moreno, J. M. Montagna and O. A. Iribarren, Instituto de Desarrollo y Diseño Avellaneda

Tuesday April 4th,2006—Poster Session Chair: Argimiro R. Secchi

15

POSTER SESSION 6.2: OPTIMIZATION AND SCHEDULING (CONT.)

P6.2-6 Algorithms for Real-Time Process Integration: One Layer Approach

M. C. A. F. Rezende, R. M. Filho and A. C. Costa, University of Campinas

P6.2-7 Steam and Power Optimization in a Petrochemical Industry

E. G. de Fronza Magalhães, S. Tiago and K. A. Wada, Argimiro R. Secchi Copesul, Universidade Federal do Rio Grande do Sul

P6.2-8 Multiperiod Optimization Model for Synthesis, Design, and Operation of Non-Continuous Plants

G. Corsano, J. M. Montagna, P. A. Aguirre, and O. A. Iribarren, Instituto de Desarrollo y Diseño Avellaneda

P6.2-9 Dynamic Penalty Formulation for Solving Highly Constrained Mixed-Integer Nonlinear Programming Problems

C. M. Silva and E. C. Biscaia Jr., Universidade Federal do Rio de Janeiro

P6.2-10 Application of Genetic Algorithms to the Optimization of an Industrial Reactor

I. R. de Souza Victorino and R. M. Filho, State University of Campinas

POSTER SESSION 6.3: PROCESS MONITORING

P6.3-1 A Novel Modular Nonlinear Network for Fault Diagnosis and Supervised Pattern Classification

B. Bhushan and J. A. Romagnoli, University of Sydney

P6.3-2 Block Diagram Proposal of Protection System for a PWR Nuclear Power Plant

F. J. De Lima and C. Garcia, Escola Politécnica of the University of São Paulo

P6.3-3 Performance Assessment of Model Predictive Control Systems

O. A. Z. Sotomayor and D. Odloak, Polytechnic School of the University of São Paulo

P6.3-4

Towards an Integrated Co-Operative Supervision System for Activated Sludge Processes Optimisation C. Bassompierre, C. Cadet, J. F. Béteau, and M. Aurousseau,

Laboratoire d’Automatique de Grenoble Laboratoire de Génie des Procédés Papetiers

P6.3-5 Quantifying Closed Loop Performance Based on On-Line Performance Indices

M. Farenzena and J. O. Trierweiler, Federal University of Rio Grande do Sul

P6.3-6 Variability Matrix: A New Tool to Improve the Plant Performance

M. Farenzena and J. O. Trierweiler, Federal University of Rio Grande do Sul

P6.3-7 Assessment of Economic Performance of Model Predictive Control Through Variance/Constraint Tuning

F. Xu, B. Huang and E.C. Tamayo, University of Alberta

P6.3-8 Diagnosis of Faults with Varying Intensities using Possibilistic Clustering and Fault Lines

K. P. Detroja, R. D. Gudi and S. C. Patwardhan, Indian Institute of Technology Bombay

P6.2-5 Heuristics for Control Structure Design

A. Heidrich and J. O. Trierweiler, Universidade Federal do Rio Grande do Sul

P6.2-4 Constraint Logic Programming for Non Convex NLP and MINLP Problems

P. R. Kotecha and R. D. Gudi, Indian Institute of Technology Bombay

P6.2-3 Improved Tightened MILP Formulations for Single-Stage Batch Scheduling Problems

P. A. Marchetti and J. Cerdá, Instituto de Desarrollo Tecnológico para la Industria Química

Tuesday April 4th,2006—Poster Session Chair: Argimiro R. Secchi

16

Wed

sned

ay A

pril

5th,2

006—

Mor

ning

09:3

0

Keyn

ote

9 (A

udit

oriu

m)

TH

E R

OLE

OF

CON

TR

OL

IN D

ESIG

N:

FRO

M F

IXIN

G

P RO

BLEM

S T

O T

HE

DES

IGN O

F D

YN

AMIC

S A

. Ba

nasz

uk,

P. G

. M

ehta

and

G.

Hag

en,

Uni

ted

Tech

nolo

gies

Chai

r: F

rank

Allg

öwer

10:0

0 Br

eak

A

udit

oriu

m

10:2

0 Se

ssio

n 7.

1 –

Opt

imiz

atio

n an

d D

esig

n Ap

plic

atio

ns

Co-c

hair

s: D

. Bo

nvin

and

A.

M.

F. F

ileti

10:2

0

Sche

dule

d O

ptim

izat

ion

of a

n M

MA

Poly

mer

izat

ion

Proc

ess

R. L

epor

e, A

. Va

nde

Wou

wer

, M

. Re

my,

R.

Find

eise

n, Z

. N

agy

and

F. A

llgö

wer

, Fa

cult

é Po

lyte

chni

que

de M

ons,

U

nive

rsit

y of

Stu

ttga

rt

10:4

0

Opp

ortu

nity

for

Rea

l-Ti

me

Opt

imiz

atio

n In

A N

ewsp

rint

M

ill:

A Si

mul

atio

n Ca

se S

tudy

A

. Be

rton

, M

. Pe

rrie

r an

d P.

Stu

art,

Éc

ole

Poly

tech

niqu

e de

Mon

tréa

l

11:0

0

Prod

uct

Des

ign

via

PLS

Mod

elin

g: S

tepp

ing

Out

of

His

tori

cal D

ata

into

Unk

now

n O

pera

ting

Spa

ce

N.

Lu,

Y. Y

ao a

nd F

. G

ao,

H

ong

Kong

Uni

vers

ity

of S

cien

ce a

nd T

echn

olog

y

11:2

0

Adap

tive

Con

trol

of

Brom

elai

n Pr

ecip

itat

ion

in a

Fed

-Ba

tch

Stir

red

Tank

F.

V.

da S

ilva

, R.

L.

A.

dos

Sant

os a

nd A

. M

. F.

Fil

eti,

U

nive

rsit

y of

Cam

pina

s

11:4

0

12:0

0 Lu

nch

(Gar

da R

esta

uran

t)

Keyn

ote

10 (

Room

I)

DIS

TR

IBU

TED

DEC

ISIO

N M

AKIN

G IN

SU

PPLY

CH

AIN

NET

WO

RK

S B.

E.

Yds

tie,

K.

R. J

ills

on a

nd E

. J.

Doz

al-M

ejor

ada,

Ca

rneg

ie M

ello

n U

nive

rsit

y

Chai

r: J

orge

A.

Man

dler

Brea

k Br

eak

Room

I Ro

om II

Sess

ion

7.2

– Co

ntro

l of

Com

plex

Sys

tem

s

Co-c

hair

s: C

. G

eorg

akis

and

F.

Gao

Sess

ion

7.3

– Pr

oces

s Co

ntro

l

Co-c

hair

s: W

. M

arqu

ardt

and

B.

Hua

ng

Dis

trib

uted

Mod

el P

redi

ctiv

e Co

ntro

l of

a Fo

ur-T

ank

Syst

em

M.

Mer

cang

öz a

nd F

. J.

Doy

le II

I,

Uni

vers

ity

of C

alif

orni

a, S

anta

Bar

bara

Expe

rim

enta

l Val

idat

ion

of M

odel

-Bas

ed C

ontr

ol

Stra

tegi

es f

or M

ulti

com

pone

nt A

zeot

ropi

c D

isti

llati

on

L. R

ueda

, T.

F.

Edga

r an

d R.

B.

Eld

ridg

e,

Uni

vers

ity

of T

exas

at

Aus

tin

Coor

dina

ted

Dec

entr

aliz

ed M

PC f

or P

lant

-Wid

e Co

ntro

l of

A Pu

lp M

ill B

ench

mar

k Pr

oble

m

R. C

heng

, J.

F.

Forb

es a

nd W

. S.

Yip

, U

nive

rsit

y of

Alb

erta

Run-

To-R

un C

ontr

ol O

f M

embr

ane

Filt

rati

on P

roce

sses

J.

Bus

ch a

nd W

. M

arqu

ardt

, RW

TH A

ache

n U

nive

rsit

y

Opt

imiz

ing

Hyb

rid

Dyn

amic

Pro

cess

es b

y Em

bedd

ing

Gen

etic

Alg

orit

hms

into

MPC

T.

Tom

etzk

i, O

. S

turs

berg

, C.

Son

ntag

and

S.

Enge

ll,

Dor

tmun

d U

nive

rsit

y

Mod

el P

redi

ctiv

e Co

ntro

l of

a Ca

taly

tic

Flow

Rev

ersa

l Re

acto

r w

ith

Hea

t Ex

trac

tion

A

. M

. Fu

xman

, J.

F.

Forb

es,

and

R. E

. H

ayes

, U

nive

rsit

y of

Alb

erta

Opt

imal

Con

trol

of

Mul

tiva

riab

le B

lock

Str

uctu

red

Mod

els

G.

Har

nisc

hmac

her

and

W.

Mar

quar

dt,

RWTH

Aac

hen

Uni

vers

ity

NM

PC w

ith

Stat

e-Sp

ace

Mod

els

Obt

aine

d Th

roug

h Li

near

izat

ion

on E

quili

briu

m M

anif

old

S. K

och,

R.

G.

Dur

aisk

i, P

. B.

Fer

nand

es a

nd J

. O

. T

rier

wei

ler,

U

nive

rsid

ade

Fede

ral

do R

io G

rand

e do

Sul

Ope

rabi

lity

of M

ulti

vari

able

Non

-Squ

are

Syst

ems

F. L

ima

and

C. G

eorg

akis

, Tu

fts

Uni

vers

ity

Mul

ti M

odel

App

roac

h to

Mul

tiva

ribl

e Lo

w O

rder

St

ruct

ured

-Con

trol

ler

Des

ign M.

Esco

bar

and

J. O

. T

rier

wei

ler,

U

nive

rsid

ade

Fede

ral

do R

io G

rand

e do

Sul

Lunc

h (G

arda

Res

taur

ant)

Lu

nch

(Gar

da R

esta

uran

t)

17

Wed

sned

ay A

pril

5th,2

006—

Mor

ning

Not

es

18

Wed

sned

ay A

pril

5th,2

006—

Aft

erno

on

13:3

0

Keyn

ote

11 (

Audi

tori

um)

ON D

ATA

PRO

CES

SIN

G A

ND R

ECO

NC

ILIA

TIO

N:

TR

END

S AN

D T

HE

I MPA

CT O

F T

ECH

NO

LOG

Y

J.A

. Ro

mag

noli,

P.A

. Ro

land

i, Y

.Y.

Joe

and

K.V.

Lin

g,

Loui

sian

a St

ate

Uni

vers

ity

Ch

air:

Bia

o H

uang

A

udit

oriu

m

14:0

0 Se

ssio

n 8.

1 –

Opt

imiz

atio

n an

d Co

ntro

l of

Petr

oche

mic

al

Syst

ems

Co-c

hair

s: B

. Fo

ss a

nd M

. T.

Gou

vea

14:0

0

Appl

icat

ion

of P

lant

wid

e Co

ntro

l to

Larg

e Sc

ale

Syst

ems.

Par

t I

- Se

lf-O

ptim

izin

g Co

ntro

l of

The

HD

A Pr

oces

s A

. A

raúj

o, M

. G

ovat

smar

k an

d S.

Sko

gest

ad,

Nor

weg

ian

Uni

vers

ity

of S

cien

ce a

nd T

echn

olog

y

14:2

0 D

ynam

ic R

eal-

Tim

e O

ptim

izat

ion

of a

FCC

Con

vert

er U

nit

E. A

. N

eto

and

A.

R. S

ecch

i,

Uni

vers

idad

e Fe

dera

l do

Rio

Gra

nde

do S

ul

14:4

0

Infe

rent

ial C

ontr

ol B

ased

on

a M

odif

ied

QPL

S fo

r an

Indu

stri

al

FCCU

Fra

ctio

nato

r X.

Tia

n, L

. Tu

and

X.

Den

g,

Chin

a U

nive

rsit

y of

Pet

role

um

15:0

0

Cont

rol S

olut

ions

for

Sub

sea

Proc

essi

ng a

nd M

ulti

phas

e Tr

ansp

ort

H.

Sive

rtse

n, J

.-M

. G

odha

vn,

A.

Faan

es a

nd S

. Sk

oges

tad,

N

orw

egia

n U

nive

rsit

y of

Sci

ence

and

Tec

hnol

ogy

15:2

0 Ac

tive

Con

trol

Str

ateg

y fo

r D

ensi

ty-W

ave

in G

as-L

ifte

d W

ells

L.

Sin

ègre

, N

. Pe

tit,

P.

Lem

étay

er a

nd T

. Sa

int-

Pie

rre,

Ec

ole

des

Min

es d

e Pa

ris

16:0

0

15:4

0 A

Cont

rol S

trat

egy

for

an O

il W

ell O

pera

ting

via

Gas

Lif

t A

. Pl

ucen

io,

Ant

onio

G.

Maf

ra,

and

D.

J. P

agan

o,

Fede

ral

Uni

vers

ity

of S

anta

Cat

arin

a

Keyn

ote

12 (

Room

I)

I TER

ATIV

E LE

AR

NIN

G C

ON

TR

OL

APPL

IED T

O B

ATCH

PR

OCE

SSES

J.

H.

Lee

and

K. S

. Le

e,

Geo

rgia

Inst

itut

e of

Tec

hnol

ogy

Ch

air:

Bal

a Sr

iniv

asan

Room

I Ro

om II

Sess

ion

8.2

– Pr

acti

cal A

pplic

atio

ns o

f M

odel

ing

and

Iden

tifi

cati

on

Co-c

hair

s: J

. A.

Man

dler

and

O.

Serr

a

Sess

ion

8.3

– Pe

rfor

man

ce A

sses

smen

t of

Clo

sed-

Loop

Sys

tem

s

Co-c

hair

s: J

. H

. Le

e an

d D

. E.

Seb

org

Mod

elin

g fo

r C

ontr

ol o

f Re

acti

ve E

xtru

sion

Pro

cess

es

S. C

. G

arge

, M

. D

. W

etze

l an

d B.

A.

Ogu

nnai

ke,

Uni

vers

ity

of D

elaw

are

Perf

orm

ance

Ass

essm

ent

of R

un-T

o-Ru

n EW

MA

Cont

rolle

rs

A.

V. P

rabh

u an

d T.

F.

Edga

r,

Uni

vers

ity

of T

exas

at

Aus

tin

Fact

ors

Affe

ctin

g O

nlin

e Es

tim

atio

n of

Dia

ster

eom

er

Com

posi

tion

usi

ng R

aman

Spe

ctro

scop

y S.

-W.

Won

g, C

. G

eorg

akis

, G

. Bo

tsar

is,

K. S

aran

teas

and

R.

Baka

le,

Tuft

s U

nive

rsit

y

Mod

ifie

d In

depe

nden

t Co

mpo

nent

Ana

lysi

s fo

r M

ulti

vari

ate

Stat

isti

cal P

roce

ss M

onit

orin

g J.

-M.

Lee,

S.

J. Q

in a

nd I.

-B.

Lee,

U

nive

rsit

y of

Tex

as a

t A

usti

n

Mod

elin

g an

d Id

enti

fica

tion

of

Non

linea

r Sy

stem

s us

ing

SISO

Le

m-H

amm

erst

ein

and

Lem

-Wie

ner

Mod

el S

truc

ture

s P.

B.

Fern

ande

s, D

. Sc

hlip

f an

d J.

O.

Trie

rwei

ler,

U

nive

rsid

ade

Fede

ral

do R

io G

rand

e do

Sul

Det

ecti

on a

nd D

iagn

osis

of

Plan

t-W

ide

Osc

illat

ions

via

th

e M

etho

d of

Spe

ctra

l Env

elop

e

H.

Jian

g, M

. A

. A

. S.

Cho

udhu

ry a

nd S

. L.

Sha

h,

Uni

vers

ity

of A

lber

ta

Mul

tiva

riab

le F

uzzy

Iden

tifi

cati

on A

ppro

ach

Appl

ied

to

Com

plex

Liq

uid

Resi

dues

Inci

nera

tion

Pro

cess

F.

M.

Alm

eida

, G

. Ba

rret

o an

d G

. L.

O.

Serr

a,

Uni

vers

ity

of C

ampi

nas

Det

ecti

on o

f Pl

ant-

Wid

e D

istu

rban

ces

Usi

ng a

Spe

ctra

l Cl

assi

fica

tion

Tre

e N

. F.

Tho

rnhi

ll a

nd H

. M

elbø

, U

nive

rsit

y Co

lleg

e Lo

ndon

Iden

tifi

cati

on o

f Po

lyno

mia

l NAR

MAX

Mod

els

for

an O

il W

ell

Ope

rati

ng b

y Co

ntin

uous

Gas

-Lif

t D

. J.

Pag

ano,

V.

D.

Filh

o an

d A

. Pl

ucen

io,

Fede

ral

Uni

vers

ity

of S

anta

Cat

arin

a

Root

Cau

se A

naly

sis

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Basic information about Gramado City facts

Area Code: (54) Voltage: 220V Population: 28.593 inhabitants

Services Municipal City Hall of Gramado: +55 (54) 3286-0200 Tourism Information: +55 (54) 3286-1475 Bus Station: +55 (54) 3286-1302 São Miguel Hospital: +55 (54) 3286-1155 Money Exchange: American Dollar and Euro: can be exchanged at Bank Agencies - BANCO DO BRASIL. R. Garibaldi, 339. - BANCO BRADESCO. Av. das Hortênsias, 1929. - HSBC BAMERINDUS. R. Garibaldi, 445. - BANCO ITAÚ. Av. Borges de Medeiros, 2468 - BANCO SANTANDER MERIDIONAL. Av. Borges de Medeiros, 2581. Other Currencies: - BMMZ: Rua Garibaldi, 491.

Attractions Paragliding The sport is one of the hang gliding modalities and arrived in Brazil in 1989; a year later it could be seen in the skies of Rio Grande do Sul. Since then the techniques and gear have been evolving, allowing ever better performances. Age or physical type don’t matter for those wishing to learn to “fly” on a paraglider. The greatest excitement of the flight is in the combination of the right techniques with the Nature factors. It is possible to fly without engine, for long distances, and at great heights – two or three thousand meters, for example. What determines the duration of a flight is the climate conditions, and it should be possible to remain flying for up to ten hours. Mini World Miniature city with replicas of castles and homes in typical European style, mills, squares, rail-ways and cascades. The miniature city is featured permanently at Horácio Cardoso Street with Pedro Candiago Street, and is open to the public Tuesday to Sunday from 1pm to 5pm. CTG Rodeio Velho Museum or Museum of the Gaúcho Serrano The only museum in the State dedicated exclusively to show the habits of the gaúcho serrano. It was organized by Lúcio and Cilda Petersen for 50 years, and brings rare pieces from the time of the Farroupilha Revolution and the so called Leather Era. In total there are over 1,500 objects registered. The museum is located at Rua Augusto Zatti, 55. It is open to visitors twice a month – every first and second Thursday – from 8pm to 10pm. Perfume Museum The first of this kind in the Country. There the visitor can know the world perfumery classics. The place has around 450 bottles of the main international perfumes, with data on the com-position, manufacturer, history and curiosities. Besides the Museum, there is also a shop and a perfume factory. It also sells sachets, soaps, shampoos and conditioners. The Perfume Mu-seum is located at Hortênsias Avenue, 3662 and opens daily, including weekends and public holidays, from 9am to 6pm. Santa Claus Village Created by Oscar Knorr in 1940, there’s a Santa’s House, a wood and the Vale dos Quilombos observatory. It is on Bela Vista Street and is open for public visiting from Monday to Friday, from 2pm to 9pm and on weekends from 10am to 9pm. Shopping Colonial Furniture: Shops in the city center and on the road to Canela. Crystals: There are crystal pieces of all types, formats and sizes. Shop opens from 9am to 7pm. At the back there is a demonstration of crystal making, from 9am to 7pm. Access through the RS-115, towards Taquara, km 37. More information” +55 (54) 3288-1124. Chocolates: At the city center, many factories and shops such as Caracol, Lugano, Planalto and Prawer sell the famous “Gramado chocolate” in bars, branches, bombons, truffles, li-queurs and different shapes for children. You must try them!

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Day travels around GRAMADO / Social Activities for accompanying persons

Tour Gramado and Canela Built on small Europeans cities atmosphere, Gramado and Canela have a very special way of life. Gramado: “Lago Negro”, panoramic tour in downtown. “Aldeia do Papai Noel” and mash and leather factory. Canela: “Mundo a Vapor”, lookout of the park “Laje de Pedra”, Chocolate factory, Cathedral Rock, panoramic tour in downtow. “Castelinho Caracol” and “Parque do Caracol”. Duration: 1 day Include: transportation and guide (do not include the entrance ticket). Price: USD 15.00

Tour Grape and Wine Discover the influence of the Italian immigrants, walkding around the “Região dos Vinhedos”. Know the mystery of the excellent vines elaborated at “Serra Gaúcha” and “Nova Petropolis”. Nova Petrópolis: Praça das Flores e Labirinto Verde. Caxias do Sul: Church of São Pelegrino. Bento Gonçalves: Panoramic tour in downtown and visi-tation to a Winegrowing with degustation. Garibaldi: Panoramic tour in downtown. Carlos Barbosa: Factory and Show Room of Tramontina. Duration: 1 day. Include: transportation, guide, lunch and degustation. Price: USD 33.00

Tour Maria Fumaça and Colônia de São Pedro Return to the past at Maria Fumaça train, listening the typical song, tarantela, schows, cheese degustation and champagne. Train trip at cities Bento Gonçalves and Carlos Barbosa. Visi-tation to the Sao Pedro Colony at Bento Gonçalves, where you will know the Project “Caminhos de Pedra”, colons houses and the Cantina Strapazzon (where were filmed the movie “O Quatrilho”). Duration: 1 day. Include: transportation, guide, train ticket and Colony ticket. Price: USD 43.00

Tour “Colonial roots from Gramado” At this walk we will know the place where have started the population of Gramado – “Linha Nova” and “Linha Bonita”. We will also visit the “Casa Centenaria”, Erva Mate Marcon factory, the Molino Cavichion, the rural museum Fiorezze and, ate the end, a degustation of colinial products and season fruits offered by Mrs. Zul-mira. Duration: ½ day. Include: transportation, guide, entrance ticket and snack. Price: USD 28.00

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Day travels around GRAMADO / Social Activities for accompanying persons

Tour of the parks A visitation to”Parque da Ferradura” is obligated to people who want to enjoy an incredible view. At the “Teleférico”, we are going to see the “Cascata do Caracol” under another un-believable angle. The lunch is included. At Alpen Park, 630m going down the mountain in the middle of the nature with incredible view. The “Parque das Sequóias” is famous be-cause of the trees that gave name to the park, but it also can be an opened museum of coniferas. At the end, a visit to the Automobile Museum. Duration: 1 day Include: transportation, guide, lunch,entrance ticket (“Parque da Ferradura and Sequaois”) entrance tax to the Teleferico and Alpen Park. Price: USD 33.00

Tour Linha 28 Ecológico At this walk you will know the refuge of the family Sperry, a place surrounded by beautiful “cachoeiras” and a fruit pomar. At the Conty family property, you will know the history of the first immigrants, “cachaçaria” and lunch with tradtitional polenta. Duration: 1 day Price: USD 28.00

Tour Itaimbezinho A spectacular view of the biggest canyon of the latin ameri-can, located at the national parque of Aparados da Serra, in Cambará do Sul. Tip: Use tennis shoes and confortable clothes Include: transportation and guide. Duration: 1 day Price: USD 38.00

Rafting Rafting boats tour will introduce you to wild Paranhana’s River sinouus ways. This tour is recomended for those who enjoy heavy sports but with all necessary safe equip-ments. Duration: ½ day Include: transportation, equipment. Price: USD 25.00

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Day travels around GRAMADO / Social Activities for accompanying persons

By Night

Trekking through Lageana Vail Waterfalls Located near “Caracol Cascade”, Lageana’s Vail offers a vast ground of beautifull views, extense sort of animals and vegetation. Include: tranportation, entrance ticket, tour guide. Duration: ½ day. Price: USD 25.00

Gaucha’s Night At Garfo and Bombacha Barbecue Restaurant, you will enjoy traditional barbecue dinner (made under the ground with special flavor!). The welcome drink is made of “chimarrão” and special drinks all home made. After dinner, dance pres-entation of our best folkloric and fandango group. Include: transportation, dinner, show and guide. Duration: approximately 3 hs. Price: USD 22.00 (the drinks are not included, it is similar to conference banquet. But ADCHEM banquet includes drinks)

German’s Night At Nova Petrópolis, dinner with the top of the german culi-nary. You will enjoy a buffet with famous dishes and a complete colonial Coffee. Include: transportation, dinner, show and guide. Duration: approximately 4 hours. Price: USD 30.00

Switzerlands’ Night Typical Swiss gastronomy, fondue trio (cheese, meet and chocolate) is a delicious and romantic option at the moun-tains. Include: transportation, dinner, show and guide. Duration: approximately 3 hs. Price: USD 22.00

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