Polynomial Fuzzy Model-Based Control Systems Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques /

This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research directi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lam, Hak-Keung (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Systems, Decision and Control, 64
Temas:
Control engineering.
Computational intelligence.
Artificial intelligence.
Control and Systems Theory.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Polynomial Fuzzy Model-Based Control Systems  |h [electronic resource] :  |b Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques /  |c by Hak-Keung Lam. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XIX, 296 p. 87 illus.  |b online resource. 
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490 1 |a Studies in Systems, Decision and Control,  |x 2198-4190 ;  |v 64 
520 |a This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for readers without extensive knowledge on the topics including students with control background who are interested in polynomial fuzzy model-based control systems. 
650 0 |a Control engineering. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 1 4 |a Control and Systems Theory. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence. 
710 2 |a SpringerLink (Online service) 
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950 |a Engineering (R0) (SpringerNature-43712) 

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