Journal ArticleDOI
Robust H∞ fuzzy static output feedback control of T-S fuzzy systems with parametric uncertainties
TLDR
This paper addresses robust H"~ fuzzy static output feedback control problem for T-S fuzzy systems with time-varying norm-bounded uncertainties with three drawbacks existing in the previous papers eliminated.About:
This article is published in Fuzzy Sets and Systems.The article was published on 2007-01-01. It has received 175 citations till now. The article focuses on the topics: Fuzzy number & Defuzzification.read more
Citations
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Journal ArticleDOI
Fuzzy-Model-Based Reliable Static Output Feedback $\mathscr{H}_{\infty }$ Control of Nonlinear Hyperbolic PDE Systems
TL;DR: Two approaches are developed for reliable fuzzy static output feedback controller design of the underlying fuzzy PDE systems and it is shown that the controller gains can be obtained by solving a set of finite linear matrix inequalities based on the finite-difference method in space.
Journal ArticleDOI
Fuzzy-Model-Based Piecewise ${\mathscr H}_{\infty }$ Static-Output-Feedback Controller Design for Networked Nonlinear Systems
Jianbin Qiu,Gang Feng,Huijun Gao +2 more
TL;DR: Based on a piecewise Lyapunov function combined with some novel convexifying techniques, the solutions to the problem of robust H∞ output-feedback control for a class of nonlinear systems under unreliable communication links are formulated in the form of linear matrix inequalities.
Journal ArticleDOI
Static-Output-Feedback ${\mathscr H}_{\bm \infty }$ Control of Continuous-Time T - S Fuzzy Affine Systems Via Piecewise Lyapunov Functions
Jianbin Qiu,Gang Feng,Huijun Gao +2 more
TL;DR: This paper investigates the problem of robust H∞ output feedback control for a class of continuous-time Takagi-Sugeno (T-S) fuzzy affine dynamic systems with parametric uncertainties and input constraints and designs a suitable constrained piecewise affine static output feedback controller.
Journal ArticleDOI
Fuzzy Control Systems: Past, Present and Future
Anh-Tu Nguyen,Tadanari Taniguchi,Luka Eciolaza,Víctor Costa da Silva Campos,Reinaldo M. Palhares,Michio Sugeno +5 more
TL;DR: This paper reviews the key features of the three above types of fuzzy systems and points out the historical rationale for each type and its current research mainstreams, and focuses on fuzzy model-based approaches developed via Lyapunov stability theorem and linear matrix inequality (LMI) formulations.
Journal ArticleDOI
A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T–S Fuzzy Systems
TL;DR: This paper addresses the issue of robust fuzzy sliding mode control for continuous-time nonlinear Takagi–Sugeno fuzzy systems with semi-Markovian switching by designing a novel fuzzy integral sliding surface without assuming that the input matrices are the same with full column rank and developing a fuzzy sliding-mode controller for stochastic stability purpose.
References
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Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Book
Fuzzy Sets and Fuzzy Logic: Theory and Applications
George J. Klir,Bo Yuan +1 more
TL;DR: Fuzzy Sets and Fuzzy Logic is a true magnum opus; it addresses practically every significant topic in the broad expanse of the union of fuzzy set theory and fuzzy logic.
Book
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Kazuo Tanaka,Hua O. Wang +1 more
TL;DR: Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.
Journal ArticleDOI
Stability analysis and design of fuzzy control systems
Kazuo Tanaka,Michio Sugeno +1 more
TL;DR: The fuzzy block diagrams and the stability analysis are applied to the design problems of a model-based fuzzy controller and a new design technique of a fuzzy controller is proposed.
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Fuzzy identification of systems and its applications to modeling and control
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