Title :
Probabilistic enhancement of classical robustness margins: the unirectangularity concept
Author :
Lagoa, C.M. ; Shcherbakov, P.S. ; Barmish, B.R.
Author_Institution :
Wisconsin Univ., Madison, WI, USA
Abstract :
The focal point of this paper is a control system subjected to parametric uncertainty. Motivated by the newly emerging theory of probabilistic robustness, the risk of performance violation is assessed with uncertainty bounds which exceed classical deterministic margins. For a wide class of problems, the uniformity principle (UP) makes it possible to estimate the probability of performance satisfaction with almost no a priori statistical information about the uncertainty. The application of the UP is, however, limited to problems satisfying certain convexity and symmetricity conditions. This paper extends the application of the UP by working with a so-called unirectangularity condition
Keywords :
polynomials; probability; robust control; uncertain systems; classical deterministic margins; classical robustness margins; convexity condition; parametric uncertainty; performance satisfaction; performance violation; probabilistic enhancement; probabilistic robustness; symmetricity conditions; uniformity principle; unirectangularity concept; unirectangularity condition; Control systems; Density measurement; Monte Carlo methods; Probability density function; Probability distribution; Random variables; Robustness; Shape; Stability; Uncertainty;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.649804