units

ECE4032

Faculty of Engineering

18 September 2017 22 November 2024
Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2012 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, or view unit timetables.

LevelUndergraduate
FacultyFaculty of Engineering
OfferedClayton First semester 2012 (Day)
Coordinator(s)Dr Edwin Tan Chee Pin (Sunway)

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, 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.

Outcomes

  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

Assessment

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.

Chief examiner(s)

Professor Jamie Evans

Contact hours

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

Prerequisites

ECE2031 and (ECE3062 or ECE3031)

Prohibitions

ECE4302, ECE5032, ECE5302