ECE4032 · Monash University
Advanced control
- Credit points
- 6
- Level
- 4
- Workload
- ≈ 12 h / week
- Faculty
- Engineering
What it covers
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.
Assessment
| Task | Type | Weight |
|---|---|---|
| Assignmentshurdle | Written | 40% |
| Final assessmenthurdle | Examination | 60% |
Hurdle tasks must be passed regardless of your overall mark.
When and where
Not offered in 2027, or offerings not published yet.