Advanced Control Systems

Subject ELEN90064 (2015)

Note: This is an archived Handbook entry from 2015.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2015:

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 27-Jul-2015 to 25-Oct-2015
Assessment Period End 20-Nov-2015
Last date to Self-Enrol 07-Aug-2015
Census Date 31-Aug-2015
Last date to Withdraw without fail 25-Sep-2015

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 hours of lectures and 24 hours of workshops and tutorials
Total Time Commitment:

200 hours


The prerequisite for this subject is:

Study Period Commencement:
Credit Points:
Semester 1, Semester 2

(prior to 2011, ELEN30001 Control 1 OR MCEN30008 Control Systems 1)

Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects:

Anti-requisite for this subject is:

Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support:


Prof Dragan Nesic



Subject Overview:


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 optimization techniques in control system synthesis. This subject is a core requirement in the Master of Engineering (Mechanical and Mechatronics).


Topics include:
State-space models - first-order vector differential/difference equations; Lyapunov stability; linearization; discretization; Kalman decomposition (observable, detectable, reachable and stabilizable 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

Learning Outcomes:


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

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

  • One written examination, not exceeding three hours at the end of semester, worth 60%
  • Continuous assessment of submitted project work completed in small groups (2-3 students), not exceeding 20 pages over the semester (approximately 35-40 hours of work), worth 30%
  • A two-hour mid-semester test, worth 10%.

Hurdle requirement: Students must pass the written exam to pass the subject.

Intended Learning Outcomes (ILOs) 1 and 2 are assessed in the final written examination, the mid-semester test, and submitted reports for three projects. ILO 3 is assessed as part of submitted project work and in-class discussions.

Prescribed Texts:


Recommended Texts:


Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic 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


Credit may not be obtained for both

ELEN40007(431-464) Control Systems (Advanced) and ELEN90064 Advanced Control Systems


The subject is delivered through lectures and workshop classes that combine both tutorial and hands-on laboratory activities.


Students are provided with lecture slides, worked problem sets, project specifications, and reference text lists.


Exposure to industry standard engineering design automation tools through laboratory activities

Related Course(s): Bachelor of Engineering (Biomedical)Biosignals
Master of Philosophy - Engineering
Ph.D.- Engineering
Related Majors/Minors/Specialisations: Master of Engineering (Electrical with Business)
Master of Engineering (Electrical)
Master of Engineering (Mechanical)
Master of Engineering (Mechatronics)

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