Authors: Zheng Li
Addresses: School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, Wollongong NSW 2522, Australia
Abstract: The problem of generalised minimum variance control of linear multi-input multi-output time-varying systems is studied. The plants are described using a time-varying controlled autoregressive moving average model and the cost functional is the sum of plant output tracking error variances plus squared control variables. Both the output errors and the input variables are weighted using time-varying matrices. A generalised minimum variance controller is developed in a transfer operator framework without using a pseudocommutation technique. The minimum variance controller is extended and the stably invertible condition is removed for multi-input multi-output time-varying systems. The controller can be applied to a large class of linear time-varying stochastic systems.
Keywords: adaptive control; minimum variance control; multiple variable systems; optimal control; time-varying systems; linear stochastic systems.
International Journal of Computer Applications in Technology, 2011 Vol.41 No.1/2, pp.78 - 83
Published online: 01 Sep 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article