UnitLevel 4Undergraduate

ECE4032 Advanced control

Faculty of Engineering

ECE4032 Advanced control is a level 4, 6-credit-point, undergraduate unit from the Faculty of Engineering. It isn't offered in 2026. It needs ECE4132, TRC3600 or ECE3062.

Credit points
6
Offered in 2026
Not offered
Assessment
Exam 60%
and 1 other task
Workload
144 hours
per semester

This is the 2026 handbook entry. See the 2027 entry.

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Requisites

After ECE4032

No unit lists ECE4032 as a prerequisite in the 2026 handbook.

Enrolment rules

If you are currently enrolled in E6013 Master of Applied Engineering, you are exempt from the prerequisites requirement.

Overview

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.

Offerings in 2026

The 2026 handbook lists no offerings for ECE4032.

Assessment

  • AssignmentsWrittenThreshold hurdle
    40%
  • Final assessmentExaminationThreshold hurdle
    60%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    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.

  2. 2

    Design optimal controllers and observers for both continuous-time and discrete-time dynamic systems.

  3. 3

    Analyse robustness of uncertain systems and to suggest suitable controller structures.

  4. 4

    Use various methods to design controllers and observers for nonlinear systems, such as (but not limited to) feedback linearisation, diffeomorphism, and Linear Matrix Inequalities.

  5. 5

    Discern the need for life-long learning about advanced control technique.

  6. 6

    Design and simulate controllers and observers using computer-aided tools.

Workload and teaching

  • Teaching approachProblem-based learning

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Lectures present the theory and expound on the deeper details, and examples are given to illustrate the theories. The practical classes are an opportunity for problem-based learning, taking the concepts from the lectures and providing concrete examples of their application.

Learning resources

Technology resources

MATLAB

Where it fits

ECE4032 is part of 1 area of study in the 2026 handbook.

Common questions

What are the prerequisites for ECE4032?

You need ECE4132, TRC3600 or ECE3062 before you enrol. Enrolment rules also apply.

When is ECE4032 offered?

ECE4032 has no offerings listed in the 2026 handbook.

How much work is ECE4032?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ECE4032 have an exam?

Yes. The exam is worth 60% of the final mark, alongside 1 other task.

Which majors and minors include ECE4032?

ECE4032 is part of Electrical and computer systems engineering.

More details

Credit points
6
Level
4
Study level
Undergraduate
Faculty
Faculty of Engineering
Organisational unit
Department of Electrical and Computer Systems Engineering
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available