Advanced control systems
C S Berger and K P Dabke
3 points * 16 lectures, 9 laboratory hours * Second semester * Clayton * Prerequisites: ECS4332, ECS3312
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
Ljung L System identification for the user Prentice-Hall, 1987
Norton J P System identification Academic Press, 1987
Siljak D D Nonlinear systems: The parameter analysis and design Wiley, 1969
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