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. https://resolver.caltech.edu/CaltechAUTHORS:20190318-134911414
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Abstract
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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Additional Information: | © 1996 IEEE. | ||||||
DOI: | 10.1109/CDC.1996.573498 | ||||||
Record Number: | CaltechAUTHORS:20190318-134911414 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20190318-134911414 | ||||||
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 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Tony Diaz | ||||||
Deposited On: | 18 Mar 2019 20:58 | ||||||
Last Modified: | 16 Nov 2021 17:01 |
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