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Polynomial Fuzzy Model Based Control Systems 2016 : Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques download ebook

Polynomial Fuzzy Model Based Control Systems 2016 : Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques by Hak-Keung Lam
Polynomial Fuzzy Model Based Control Systems 2016 : Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques
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Author: Hak-Keung Lam
Page Count: 315 pages
Published Date: 28 Jul 2016
Publisher: Springer International Publishing AG
Publication Country: Cham, Switzerland
Language: English
Format: PDF
ISBN: 9783319340920
File size: 40 Mb
File Name: Polynomial.Fuzzy.Model.Based.Control.Systems.2016.Stability.Analysis.and.Control.Synthesis.Using.Membership.Function.Dependent.Techniques.pdf
Download Link: Polynomial Fuzzy Model Based Control Systems 2016 Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques
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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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