Modern control systems
C S Berger, K P Dabke and M F Conlon
4 points * 24 lectures, 18 laboratory hours * First semester * Clayton * Prerequisites: ECS3331, ECS3311 * Corequisites: ECS3312
Objectives The student is expected to gain an appreciation of the behaviour of the dynamic systems listed below and acquire a knowledge of methods for controlling their performance: multivariable systems, stochastic systems, non-linear systems and discrete time digital systems.
Synopsis Multivariable control. State space design: pole-placement, observers, stochastic disturbances, optimal and suboptimal control. Digital control systems: control design using the z-transform, effects of sampling rate and finite word length. Non-linear systems: classification of non-linear behaviour, stability for small perturbations, describing function analysis of limit cycles.
Assessment Examination (2 hours): 75% * Laboratory work: 25%
Recommended texts
Brogan W L Modern control theory 3rd edn, Prentice-Hall, 1991
Franklin G F and others Digital control of dynamic systems 2nd edn, Addison-Wesley, 1990
Franklin G F and others Feedback control of dynamic systems 3rd edn, Addison-Wesley, 1994
Kuo B C Automatic control systems 7th edn, Prentice-Hall, 1995
Laning J H and Battin R H Random processes in automatic control McGraw-Hill, 1956
Papoulis A Probability, random variables and stochastic processes McGraw-Hill, 1965
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