Title :
Minimax design of optimal stochastic multivariable systems
Author_Institution :
University of Strathclyde, Industrial Control Unit, Department of Electronic and Electrical Engineering, Glasgow, UK
fDate :
11/1/1988 12:00:00 AM
Abstract :
A new minimax optimal control problem is considered for a stochastic multivariable system. The cost function involves the trace of a weighted sum of spectral density matrices whose frequency response is to be limited. The H¿¿-norm of this scalar function is therefor minimised. To obtain the solution of the minimax control problem, an auxiliary lemma is employed. This enables an equivalent LQG optimal problem to be constructed which has the desired controller as its solution. An advantage of the particular cost function employed is that the solution is obtainedmore easily than for the general multivariable H¿¿ problem. This makes the approach easier to understand and the results simpler.
Keywords :
control system synthesis; multivariable control systems; optimal control; optimal systems; optimisation; stochastic systems; H¿¿ -norm; LQG optimal problem; control system synthesis; frequency response; minimax optimal control problem; multivariable system; optimal system; optimisation; spectral density matrices; stochastic system;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
DOI :
10.1049/ip-d.1988.0066