Guaranteed-result strategy to synthesize a decentralized control for systems under parametric perturbations

Abstract

This paper describes a technique to synthesize robust control for a large-scale system under parametric perturbations. The control law designed provides the guaranteed quality of transient processes under the worst parametric perturbation admissible. The problem is solved based on the required minimax conditions. A modified performance criterion is employed that allows the computational cost of decentralized control synthesis to be reduced significantly.