6 points, SCA Band 2, 0.125 EFTSL
Undergraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Department of Electrical and Computer Systems Engineering
Dr Edwin Tan Chee Pin
- Second semester 2018 (On-campus)
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, students 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, students 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.
At the successful completion of this unit you will be able to:
- Generate dynamic models using various system identification techniques/tools such as (but not limited to) step response identification, least squares and the System Identification Toolbox.
- Design optimal controllers and observers for both continuous-time and discrete-time dynamic systems.
- Analyse robustness of uncertain systems and to suggest suitable controller structures.
- Use various methods to design controllers and observers for nonlinear systems, such as (but not limited to) feedback linearisation, diffeomorphism, and Linear Matrix Inequalities.
- Discern the need for life-long learning about advanced control technique.
- Design and simulate controllers and observers using computer-aided tools.
Continuous assessment: 40%
Examination (2 hours): 60%
Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.
2 hours lectures, 3 hours laboratory and practice classes and 7 hours private study per week
See also Unit timetable information