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Advanced control
ECE4032
Synopsis
This unit aims to firstly develop an understanding of key features of methods for mathematically modelling various categories of dynamical systems in terms of sets of dynamic and algebraic equations, ranging from engineering to biomedical systems. Secondly, you are shown how to write algorithms for efficient numerical solution of these equations. Computer-aided control systems design using optimal and robust control methods is then covered. Thirdly, you are introduced to Lyapunov and function analytic techniques for nonlinear systems stability analysis, and to nonlinear control design methods including feedback linearisation, sliding mode and passivity-based control techniques.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 4
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Engineering
- Faculty
- Department of Electrical and Computer Systems Engineering
- Handbook year
- 2026
Prerequisites (3)
- ECE3062ECE3062
- Control system designECE4132
- Feedback control systemsTRC3600
What it unlocks
Nothing in the visible graph depends on this unit.
Listed in 1 area of study
- Electrical and computer systems engineeringElectrical and computer systems engineering technical electives