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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)

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