Faculty of Engineering

Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

FacultyFaculty of Engineering
Organisational UnitDepartment of Electrical and Computer Systems Engineering
OfferedMalaysia Second semester 2015 (Day)
Coordinator(s)Dr Edwin Tan Chee Pin (Malaysia)


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.



  1. understand the role of control and automation in modern society
  2. understand modelling and simulation of typical industrial and process control systems
  3. understand optimal and robust control design techniques for linear multivariable systems
  4. have knowledge and skills to obtain solutions to real world non-linear control problems
  5. be able to perform numerical simulations of dynamical engineering systems
  6. be able to use optimization methods to systemically design controllers for linear multivariable dynamical systems
  7. be able to analyse stability of nonlinear systems
  8. be able to design controllers for nonlinear systems using feedback linearization, sliding mode and passivity based control techniques
  9. have an appreciation of the role of automation in society
  10. have confidence in identifying new engineering problems and formulating original solutions


Continuous assessment: 30%
Examination (3 hours): 70%.
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.

Workload requirements

2 hours lectures, 3 hours laboratory and practice classes and 7 hours private study per week

See also Unit timetable information

Chief examiner(s)



ECE4302, ECE5032, ECE5302