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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.
Front Matter
Front Matter
Introduction
Preliminaries
Front Matter
Stability Analysis of Polynomial Fuzzy Model-Based Control Systems with Mismatched Premise Membership Functions Through Symbolic Variables
Stability Analysis of Polynomial Fuzzy Model-Based Control Systems with Mismatched Premise Membership Functions Through Taylor Series Membership Functions
Stability Analysis of General Polynomial Fuzzy Model-Based Control Systems
Front Matter
Output Regulation of Polynomial Fuzzy Model-Based Control Systems
Output-Feedback Tracking Control for Polynomial Fuzzy Model-Based Control Systems
Sampled-Data Output-Feedback Fuzzy Controller for Nonlinear Systems Based on Polynomial Fuzzy Model-Based Control Approach
Front Matter
Stability Analysis of Polynomial Fuzzy Model-Based Control Systems Using Switching Polynomial Lyapunov Function
Stability Analysis of Polynomial Fuzzy Model-Based Control Systems Using Fuzzy Polynomial Lyapunov Function
Back Matter