MONASH UNIVERSITY FACULTY HANDBOOKS

Engineering Handbook 1996

Authorised by Academic Registrar, April 1996

ECS4333

Advanced control systems

C S Berger and K P Dabke

Objectives The student is expected to be able to obtain mathematical plant models from measured input/output data and develop the ability to design adaptive controllers and apply advanced methods of analysing the stability behaviour of non-linear plant.

Synopsis Identification methods: recursive least squares, instrument variables and generalised least squares. Adaptive control: minimum variance, pole-placement, predictive control. Non-linear systems: stability, Lyapunov stability functions, Popov stability criterion.

Assessment Assignments/Laboratory work: 100%

Recommended texts

• Aggarwal J K Notes on nonlinear systems Van Nostrand, 1972
• Astrom K J and Wittenmark B Adaptive control Addison-Wesley, 1989
• Goodwin G C and Sin K S Adaptive filtering, prediction and control Prentice-Hall, 1984
• Johnson C R Lectures on adaptive parameter estimation Prentice-Hall, 1988
• Ljung L and Soderstrom T Theory and practice of recursive identification MIT Press, 1983
• Norton J P System identification Academic Press, 1987
• Siljak D D Nonlinear systems: The parameter analysis and design Wiley, 1969