Advanced Control System Design


ELEC4410 examines advanced analysis and design issues in linear feedback control systems. The course provides an in-depth introduction to the fundamental concepts of linear system theory using both transfer function and state equation system descriptions. Emphasis is placed on the design of feedback controllers and state estimators for pole-placement, robust regulation, tracking and disturbance rejection, in the context of real world industrial process applications.



  • Semester 2 - 2016

Learning Outcomes

1. Design control systems using modern control techniques (e.g. observers, state variable feedback, Internal Model Control etc.)

2. Demonstrate an understanding of various factors which limit the achievable control system performance (e.g. Time delays, Non minimum phase zeros, etc.)

3. Implement control systems in a laboratory environment

4. Understand various control implementation issues (e.g. Sampled data systems, Actuator saturation, Anti-windup schemes etc.)

5. Solve problems in more advanced topics (e.g. Multivariable systems, Kalman Filters)

6. Demonstrate knowledge in empirical modelling and system identification


1. Review of Classical Control and Modelling

2. Internal Model Control design procedure for SISO systems; (Q parameterisation, relationship to state feedback) with implications for PID, Smith predictors; and extensions to unstable plants.

3. Saturation and anti-integral windup schemes

4. State Space models, and systems theory (controllability, observability, state variable feedback, observers)

5. Design constraints in feedback control systems

6. Elements of System Identification

7. Introduction to Multivariable control (decoupling, interaction, analysis & design)

8. Introduction to optimal control and estimation.

9. Case studies


Assumed Knowledge


Assessment Items

Report: Assignments

Project: Control Projects

Quiz: Quiz

Formal Examination: Formal Examination

Contact Hours



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


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