Advanced Control

Course aim

Building on EEET 3046 Control Systems, to provide training in system modelling using state-space equations, and applying optimal state estimation and control techniques to the state-space models.

Course content

Model multivariable systems using state-space equations and linearisation techniques.

Linear algebra for state-space methods.

Analyse system controllability, observability and Lyapunov stability.

Design observer-based state-feedback controllers using pole placement.

Design optimal controllers using linear quadratic regulation and linear quadratic estimation.

Introduction to model predictive control as an extension of optimal control.

Case studies presenting sample rigid multibody systems, controller designs, practical implementation considerations and limitations

Textbook(s)

Zak,S.H. 2002, Systems and Control, Oxford University Press

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, 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.