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

Citation
Jb. Lu et Re. Skelton, Robust variance control for systems with finite-signal-to-noise uncertainty, AUTOMATICA, 36(4), 2000, pp. 511-525
Citations number
23
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
AUTOMATICA
ISSN journal
00051098 → ACNP
Volume
36
Issue
4
Year of publication
2000
Pages
511 - 525
Database
ISI
SICI code
0005-1098(200004)36:4<511:RVCFSW>2.0.ZU;2-2
Abstract
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.