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Robust simulation and nonlinear performance

Kantner, Michael and Doyle, John (1996) Robust simulation and nonlinear performance. In: Proceedings of 35th IEEE Conference on Decision and Control. Vol.3. IEEE , Piscataway, NJ, pp. 2622-2623. ISBN 0-7803-3590-2.

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Robust simulation, defined as the simulation of sets, allows the computation of a system's global properties. By simulating entire sets, instead of individual points, performance guarantees can made. While exact algorithms for robust simulation are computationally prohibitive, reasonable approximations which preserve performance guarantees exist. An approximate solution, which provides an upper bound on performance, is tested on a large number of systems. In general, the upper bound is close to the best lower bound computed by search. Furthermore, when the bounds differ, several techniques exist to improve the upper bound.

Item Type:Book Section
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Doyle, John0000-0002-1828-2486
Additional Information:© 1996 IEEE.
Record Number:CaltechAUTHORS:20190318-134911414
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Official Citation:M. Kantner and J. Doyle, "Robust simulation and nonlinear performance," Proceedings of 35th IEEE Conference on Decision and Control, Kobe, Japan, 1996, pp. 2622-2623 vol.3. doi: 10.1109/CDC.1996.573498
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93933
Deposited By: Tony Diaz
Deposited On:18 Mar 2019 20:58
Last Modified:16 Nov 2021 17:01

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