Available in 2022
Course code



10 units


4000 level

Course handbook


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.



  • Semester 2 - 2022

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


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



Face to Face On Campus 2 hour(s) per Week for Full Term


Face to Face On Campus 4 hour(s) per Week for Full Term

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.