Rough Guide to Topics covered in year 1 ACSE modules during semester 2 (subject to change as the semester progresses) :

ACS108 Professional and Laboratory Skills

ACS123 Systems Engineering Maths

ACS124 Modelling, Simulation and Control

ACS125 Dynamic Systems Analysis

ACS126 Computing and Systems Design

EEE151

Weeks 1-2

Recap intro from semester 1. Lab briefing. MATLAB Peer marking of 1

st

major lab report. Different lab experiments scheduled per group, with each group completing the full set of experiments by the end of the year.

Matrices, determinants and inverses

Introduction to control. Examples. Open-loop and closed-loop control; summary of features. Control strategies. Sequential control and PLCs. Regulation, trajectory following; introduction to continuous control systems and PID controllers

Module overview, review of Autumn Semester concepts, introduction to Spring Semester example systems Case study: HIV disease modelling (LTI, deterministic, discrete)

C programming: pointers, pointers and arrays, pointer arithmetic

Basic Diode Behaviour : large and small signal diode models. Diode Applications : rectifiers, capacitor input smoothing, ripple, zener diode regulators. Clipping, clamping, voltage doublers, voltage multipliers. Transistors : BJT, JFET and MOSFET characteristics, similarities and differences. Switching Applications : on-state and off-state behaviour, drive considerations for BJT and MOSFET, inductive loads and back emf, switching AC power, bridge topologies for motor control. Amplifier Applications : amplification, biasing, designing dc conditions, thermal stability. Small signal ideas, generation of simple model (g

m based),

equivalent circuits, coupling and decoupling, mid-frequency examples. Operational Amplifiers : advantages of - ideal performance. Basic circuit shapes, idea of feedback, follower circuits, virtual earth circuits, effect of finite gains. Use of superposition to handle multiple source amplifiers.

Weeks 3-4

MATLAB. (Images, plotting, curve fitting, Laplace)

Introduction to simple integration. Integration methods and properties of trigonometric integrals

Systems concepts: Classification. Properties of linear systems Review of complex variables. Laplace Transforms:

Introduction to discrete-state and discrete-time systems: state-transition diagrams, cohort simulation, stability Introduction to stochastic modelling: randomness, distributions, descriptive statistics, hypothesis testing

C programming: bitwise operations, files

Weeks 5-6

MATLAB (Simulink) Guest speaker – tentatively week 5, but the speaker has not yet confirmed.

Parametric and implicit differentiation techniques. Laplace transforms.

Transforms of simple functions. Inversion of the Laplace Transform Solving linear differential equations Transfer functions and block diagram algebra.

Introduction to stochastic modelling: random number generation, Monte Carlo simulation Case study: parameter variation in a race car suspension (LTI, stochastic, continuous)

C programming: file I/O, functions and passing parameters

Weeks 7-8

Invited speaker to talk about a research topic and what makes a good researcher (e.g. MPC or GP or …) MATLAB (GUIs, control)

Partial fractions and use for ODEs and inverse Laplace. Methods for solving ODEs without constant coefficients.

Performance criteria. Time-domain performance criteria. Frequency-domain performance domain. First-order systems; second-order systems.

Introduction to computational simulation of continuous-time dynamics: Euler method, Runge-Kutta. Case study: hydraulic extrusion press (non-linear TI, deterministic, hybrid) – (1) continuous-time dynamics

C programming: switch statement, special operators, detailed formatting. C programming for the microcontroller.

Weeks 9-10

Peer marking of 2nd

reports. MATLAB (generate Fourier series using

Sequences/ series/Taylor and Graphical/ iterative methods. Vectors, scalar/vector products, lines and planes

Fourier analysis. Relationship to Laplace

- (2) incorporation of digital valve control Introduction to discrete-event systems: basic concept and

C programming: functions and modular program design. Week 10: in lab for

symbolic toolbox) examples presentation of C program to control project hardware (individual work)

Weeks 11-12

Overview and revision Introduction to discrete-event systems: simulation of simple cellular automata Introduction to discrete-event systems: simulation of Moore machines playing the repeated prisoners’ dilemma; module review

Week 11: C program for matrix manipulation. Module review