Advanced Control

Course aim

• Multivariable calculus and optimisation
• Model and control multiple input, multiple output (MIMO) systems
  Select and design appropriate controllers in both classical and modern (state-space) representations of 
  systems to meet defined criteria
• Apply model predictive control principles to complex real-world processes

Course content

Modelling and control of single input, single output (SISO) and multiple input, multiple output (MIMO) systems.
Intelligent controllers including: expert systems, multivariable feedback control, fuzzy logic and neural
networks. Analyse and design model predictive controllers for complex real-world processes. Practical
implementation considerations and limitations of control systems. Functions of more than one real variable. Partial derivatives and differentiability; linear partial differential equations. Optimisation with constraints.

Textbook(s)

Nil

Prerequisite(s)

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment, Essay, Examination, Practical

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.