Polynomial Fuzzy Model-Based Control Systems

Name: Polynomial Fuzzy Model-Based Control Systems
Brand: Springer International Publishing AG
SKU: 9783319340920
Price: 99.88 EUR
Availability: InStock

Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques

Autor: Hak-Keung Lam

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

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99.88 €

This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control...

Informácie o knihe

Autor

Hak-Keung Lam

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2016

Stránok

296

EAN

9783319340920

ISBN

3319340921

Enbook ID

02981103

Vydavateľ

Springer International Publishing AG

Hmotnosť

5974

Rozmery

155 x 235 x 24

Kompletný popis

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.§

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Polynomial Fuzzy Model-Based Control Systems

Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques

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