Fuzzy Control Systems with Time-Delay and Stochastic Perturbation
Analysis and Synthesis
(Sprache: Englisch)
This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems,...
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Klappentext zu „Fuzzy Control Systems with Time-Delay and Stochastic Perturbation “
This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems, including stability analysis and stabilization, dynamic output feedback control, robust filter design, and model approximation. A set of newly developed techniques such as fuzzy Lyapunov function approach, delay-partitioning, reciprocally convex, cone complementary linearization approach are presented. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing. Inhaltsverzeichnis zu „Fuzzy Control Systems with Time-Delay and Stochastic Perturbation “
Analysis and Synthesis of T-S Fuzzy Time-Delay Systems.- Analysis and Synthesis of T-S Fuzzy Stochastic Systems.- Fuzzy Control Applications.
Bibliographische Angaben
- Autoren: Ligang Wu , Xiaojie Su , Peng Shi
- 2014, 2015, XXII, 348 Seiten, Maße: 16,1 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319113151
- ISBN-13: 9783319113159
Sprache:
Englisch
Pressezitat
"It can serve as a well structured and easy to follow advanced text in fuzzy control with a wealth of illustrative up-to-the point examples. Practitioners can find the material instructive when designing control strategies for advanced control problems. The book could meet the needs of a broad audience addressing the needs of those interested in exploring the main and recent trends of fuzzy control and fuzzy modeling." (Witold Pedrycz, zbMATH 1310.93002, 2015)
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