Available in 2024
Course code

ENGG4440

Units

10 units

Level

4000 level

Course handbook

Description

This course is intended to introduce students to a range of techniques for control and estimation for nonlinear systems. Specifically, the course will cover some basic concepts of nonlinear systems and control theory; nonlinear model predictive control; and modern estimation and observer techniques for nonlinear systems. The course includes laboratory and simulation experiments to apply the concepts taught.


Availability2024 Course Timetables

Callaghan

  • Semester 2 - 2024

Learning outcomes

On successful completion of the course students will be able to:

1. Design and implement simple feedback control systems for regulating a nonlinear system

2. Design and implement systems to improve nonlinear system performance in the presence of constraints

3. Design and implement observers and estimators for nonlinear systems

4. Configure, implement and test Nonlinear Model Predictive Controllers for simple nonlinear systems


Content

This course will cover:

  • Introduction/review of digital control
  • Nonlinear systems, basic definitions and comparisons with linear systems
  • Linearisation and control of linear systems
  • Antiwindup design
  • Simplified forms of Feedback linearization
  • Output regulation
  • Nonlinear Model Predictive Control
  • Luenberger observers
  • High gain observers
  • Nonlinear Kalman Filtering
  • Overview of particle filter methods

Assumed knowledge

MATH2310 Calculus of Science and Engineering and either:ENGG3440 Linear Control and Estimation or AERO3600 Embedded Control Systems.


Assessment items

Written Assignment: Assignments

Tutorial / Laboratory Exercises: Laboratory Assignments


Contact hours

Semester 2 - 2024 - Callaghan

Laboratory-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1
Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1
Lecture-2
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Course outline

Course outline not yet available.