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Analysis and Design for Fuzzy Systems / by Changhong Wang, Xiao Xu, Yonggui Kao, Hongwei Xia

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XIV, 174 p. 41 illus., 40 illus. in color.)ISBN:
  • 9789819765003
Subject(s): Additional physical formats: 9789819764990 | 9789819765010 | 9789819765027 | Erscheint auch als: 9789819764990 Druck-Ausgabe | Erscheint auch als: 9789819765010 Druck-Ausgabe | Erscheint auch als: 9789819765027 Druck-AusgabeDDC classification:
  • 629.8312 23
  • 003 23
DOI: DOI: 10.1007/978-981-97-6500-3Online resources: Summary: Introduction -- Sampled Data Control for Uncertain Fuzzy Systems under Markovian Jump and FBM -- Observer Based Adaptive Sliding Mode Control for Markovian Jumping Fuzzy Systems -- Event Triggered Based Asynchronous Adaptive SMC Control for Fuzzy Systems -- Finite time boundedness of neutral semi Markovian jumping IT2 fuzzy neural networks -- Adaptive Event Triggered SMC Control for Fuzzy Systems with Actuator Failures.Summary: This book proposes analysis and design techniques for fuzzy systems using adaptive technology, event triggering mechanism, sampling control technology, and sliding mode control technology. The book covers stochastic stability, finite-time boundedness, actuator failure problems, fault-tolerant control, asynchronous control, and adaptive sliding mode control for uncertain fuzzy systems. The topic of fault-tolerant control will be of particular interest to readers because: (i) the internal hardware components of the system may age and fail to a greater or lesser extent; (ii) the external environment may suddenly change. With illustrations and tables, readers can easily follow the didactic approach and apply the methods to their own research. This book will be of particular interest to researchers and graduate students in control engineering and applied mathematics who are interested in the latest developments in fuzzy systems.PPN: PPN: 1920501576Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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