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Monash University

Monash University Handbook 2011 Undergraduate - Unit

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
OfferedSunway Second semester 2011 (Day)
Coordinator(s)J Zhang (Clayton); C P Tan (Sunway)


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


Continuous assessment: 30%
Examination (3 hours): 70%. Students must achieve a mark of 45% in each of these components to achieve an overall pass grade.

Chief examiner(s)

Professor Arthur Lowery

Contact hours

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


ECE2031 or ECE3031


ECE4302, ECE5032, ECE5302