Journal ArticleDOI
Reliable mixed H∞/passive control for T–S fuzzy delayed systems based on a semi-Markov jump model approach
Hao Shen,Lei Su,Ju H. Park +2 more
TLDR
This paper investigates the problem of the reliable mixed H ∞ /passive control for Takagi–Sugeno (T–S) fuzzy delayed systems based on a semi-Markov jump model (SMJM) approach by applying the Lyapunov–Krasovskii method, in combination with some novel inequalities.About:
This article is published in Fuzzy Sets and Systems.The article was published on 2017-05-01. It has received 142 citations till now. The article focuses on the topics: Fuzzy logic & Control theory.read more
Citations
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Book ChapterDOI
Feedback and Optimal Sensitivity: Model Reference Transformations, Multiplicative Seminorms, and Approximate Inverses
TL;DR: In this paper, the problem of sensitivity reduction by feedback is formulated as an optimization problem and separated from the problems of stabilization, and the sensitivity reduction can be reduced to an optimal value approaching the singularity measure.
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.
Journal ArticleDOI
Takagi–Sugeno Model Based Event-Triggered Fuzzy Sliding-Mode Control of Networked Control Systems With Semi-Markovian Switchings
TL;DR: A fuzzy sliding-mode controller is developed to realize reachability of a predefined switching surface and desirable sliding motion and sufficient conditions for stochastic stability of the obtained sliding mode dynamics is developed in the sense of generally uncertain transition rates.
Journal ArticleDOI
Dissipative fault-tolerant control for nonlinear singular perturbed systems with Markov jumping parameters based on slow state feedback
TL;DR: The aim is to design an optimized slow state feedback controller such that the stability of MJSPSs is guaranteed even in faulty case, and the upper bound of singular perturbation parameter (SPP) ϵ is improved simultaneously.
Journal ArticleDOI
Nonfragile $\mathcal{H}_{\infty}$ Control for Fuzzy Markovian Jump Systems Under Fast Sampling Singular Perturbation
TL;DR: In this article, a singular perturbation parameter independent condition is derived to make sure the underlying closed-loop system's stability and a mixed $ √ √ H$ and passive performance simultaneously.
References
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Book
Introduction to Functional Differential Equations
TL;DR: The present book builds upon the earlier work of J. Hale, "Theory of Functional Differential Equations" published in 1977 and attempts to maintain the spirit of that book and have retained approximately one-third of the material intact.
Journal ArticleDOI
Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses
TL;DR: In this article, the problem of sensitivity reduction by feedback is formulated as an optimization problem and separated from the problems of stabilization, and the feedback schemes obtainable from a given plant are parameterized.
Journal ArticleDOI
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
TL;DR: A survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models.
Journal ArticleDOI
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
TL;DR: A basic data-driven design framework with necessary modifications under various industrial operating conditions is sketched, aiming to offer a reference for industrial process monitoring on large-scale industrial processes.
Journal ArticleDOI
Parameterized linear matrix inequality techniques in fuzzy control system design
TL;DR: This paper proposes different parameterized linear matrix inequality (PLMI) characterizations for fuzzy control systems and these characterizations are relaxed into pure LMI programs, which provides tractable and effective techniques for the design of suboptimal fuzzy control Systems.
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