1. Handbook
  2. Subjects
  3. Advanced Control Systems

Advanced Control Systems (ELEN90064)

Graduate courseworkPoints: 12.5On Campus (Parkville)

You’re viewing the 2017 Handbook:
Or view archived Handbooks
You’re currently viewing the 2017 version of this subject

Overview

Availability
Semester 2
FeesLook up fees

AIMS

This subject provides an introduction to modern control theory with a particular focus on state-space methods and optimal control. The role of feedback in control will be reinforced within this context, alongside the role of optimisation techniques in control system synthesis. This subject is a core requirement in the Master of Engineering (Mechatronics).

INDICATIVE CONTENT

Topics include:
State-space models - first-order vector differential/difference equations; Lyapunov stability; linearisation; discretisation; Kalman decomposition (observable, detectable, reachable and stabilisable subspaces); state-feedback and pole placement; output-feedback and observer design in both continuous-time and discrete-time.
Optimal control - dynamic programming; linear quadratic regulation in both continuous-time and discrete-time. Model predictive control in discrete-time; moving-horizon with constraints.

Intended learning outcomes

INTENDED LEARNING OUTCOMES (ILOs)


Having completed this subject it is expected that the student be able to:



  • Apply fundamental state-space-techniques in the analysis and design of linear feedback control systems, as they arise in a variety of contexts
  • Formulate and solve constrained optimisation problems for control system synthesis
  • Use software tools to simulate and design the linear behaviour of automatic control systems.

Generic skills

Upon completion of this subject, students will have developed the following skills:

  • Ability to apply knowledge of basic science and engineering fundamentals
  • In-depth technical competence in at least one engineering discipline
  • Ability to undertake problem identification, formulation and solution
  • Ability to utilise a systems approach to design and operational performance
  • Capacity for independent critical thought, rational inquiry and self-directed learning
  • Openness to new ideas and unconventional critiques of received wisdom
  • Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a leader or manager as well as an effective team member
  • Ability to communicate effectively, with the engineering team and with the community at large.

Last updated: 3 November 2022