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

Authors:
Jianbo Lu;Robert E. Skelton
Affiliations:
Engineering Technical Center, Delphi Automotive Systems. M/C E520, P.O.Box 1245, 1435 Cincinnati Street, Dayton, OH 45401-1245, USA;Department of Applied Mechanics and Engineering Sciences, University of California at San Diego, La Jolla, CA 92093-0411, USA
Venue:
Automatica (Journal of IFAC)
Year:
2000

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Abstract

This paper develops control analysis and synthesis techniques for systems with finite signal-to-noise-ratios (called the finite-signal-to-noise (FSN) models). The system is characterized by an easily computed measure @f. The control synthesis finds output feedback control laws to tolerate finite signal-to-noise ratio uncertainty on an interval. An algorithm to conduct this synthesis is proposed, to achieve locally optimal performance for the closed-loop system.