Title :
Robust simulation and nonlinear performance
Author :
Kantner, Michael ; Doyle, John
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
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
Keywords :
computational complexity; nonlinear systems; simulation; computational complexity; nonlinear performance; performance upper bound; robust simulation; Acoustic noise; Computational modeling; Linear systems; Noise robustness; Nonlinear systems; Piecewise linear approximation; Piecewise linear techniques; Stability; System testing; Upper bound;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573498