DocumentCode
306957
Title
Robust simulation and nonlinear performance
Author
Kantner, Michael ; Doyle, John
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume
3
fYear
1996
fDate
11-13 Dec 1996
Firstpage
2622
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.573498
Filename
573498
Link To Document