Stochastic robustness synthesis applied to a benchmark control problem
- 1 January 1995
- journal article
- research article
- Published by Wiley in International Journal of Robust and Nonlinear Control
- Vol. 5 (1) , 13-31
- https://doi.org/10.1002/rnc.4590050104
Abstract
Stochastic robustness synthesis is used to find compensators that solve a benchmark problem. The synthesis minimizes a robustness cost function that is the weighted quadratic sum of stochastic robustness metrics. These metrics — probability of instability, probability of actuator saturation, and probability of settling time violation — are estimated using Monte Carlo analysis. A simple search method minimizes the robustness cost by selecting values for the design parameters of a linear quadratic Gaussian regulator. The resulting compensators are robust, require low actuator authority, and compare well with previous designs.Keywords
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