Stochastic robustness synthesis for a benchmark problemStochastic robustness analysis guides the synthesis of robust linear quadratic Gaussian (LQG) regulators for a benchmark control problem. Probabilities of exceeding allowable design limits, including stability, setting time, and control usage, are estimated by Monte Carlo evaluation. Robust, low-gain compensators that fulfill objectives are designed by numerically minimizing quadratic functions of these probabilities. The method is straightforward and makes use of uncomplicated design principles.
Document ID
19930038945
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Stengel, Robert F. (NASA Headquarters Washington, DC United States)
Marrison, Christopher I. (Princeton Univ. NJ, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: 1992 American Control Conference, 11th, Chicago, IL, June 24-26, 1992, Proceedings. Vol. 3 (A93-22776 07-63)
Publisher: Institute of Electrical and Electronics Engineers