Robust variance control for systems with finite-signal-to-noise uncertainty

This paper develops control analysis and synthesis techniques for systems w ith finite signal-to-noise-ratios (called the finite-signal-to-noise (FSN) models). The system is characterized by an easily computed measure phi. The control synthesis finds output feedback control laws to tolerate finite si gnal-to-noise ratio uncertainty on an interval. An algorithm to conduct thi s synthesis is proposed, to achieve locally optimal performance for the clo sed-loop system. (C) 2000 Elsevier Science Ltd. All rights reserved.