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Fuzzy Control and Filtering for Nonlinear Singularly Perturbed Markov Jump Systems
IEEE Transactions on Cybernetics, 2020This article addresses the $H_{\infty } $ control and filtering problems for Markov jump singularly perturbed systems approximated by Takagi–Sugeno fuzzy models.
Yue-ying Wang +3 more
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Fuzzy Modeling and Control of Chaotic Systems
1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96, 2002In this paper we explore the interaction between fuzzy control systems and chaos. First we show that fuzzy modeling techniques can be used to model chaotic dynamical systems. Then we apply some of the newly developed fuzzy control design techniques to the control of chaotic systems.
Kazuo Tanaka, T. Ikeda, Hua O. Wang
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On the accessibility/controllability of fuzzy control systems
Information Sciences, 2012Accessibility/controllability are very important concepts in the design of fuzzy logic control systems (FLCS) from both theoretical and practical perspectives. This paper proposes a systematic methodology that utilizes differential geometry/Lie Algebra, that has not been investigated in the literature, for analyzing the accessibility/controllability of
William Melek +2 more
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Fuzzy tracking control of fuzzy linear dynamical systems
ISA Transactions, 2020This paper deals with the fuzzy tracking control problem of a class of uncertain linear dynamical systems. In the uncertain linear dynamical system the uncertainty is considered as fuzzy numbers. This kind of uncertain linear dynamic systems is called fuzzy linear dynamic systems which are expressed in the form of a fuzzy differential equations system.
Ali Akbar Jalali +1 more
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Fuzzy implication in fuzzy systems control
Fuzzy Sets and Systems, 1992Abstract Different interpretations of fuzzy conditional statements in decision making for fuzzy systems control are considered. Some of their attributes which embarrass their application in this area are analysed. A list of demands for fuzzy implication and a compositional rule of inference is suggested.
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Fuzzy identification of systems and its applications to modeling and control
IEEE Transactions on Systems, Man and Cybernetics, 1985A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented. The premise of an implication is the description of fuzzy subspace of inputs and its consequence is a linear input-output relation.
T. Takagi, M. Sugeno
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FUZZY LOGIC FOR CONTROL SYSTEMS
IFAC Proceedings Volumes, 1992Abstract Ever since fuzzy set theory was first proposed by Professor Zadeh, People in the control field have examined very carefully its applicability to the real world. Very few results of practical application were reported namely due to the difficulty of proving validity.
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Fuzzy Control for Networked Control System
Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems (NCS). The insertion of the communication network in the feedback control loop makes the design of controller in NCS complex. In this paper, a fuzzy control method for networked control system is introduced.
Hou Chao-zhen, Sun Zhi-yi
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Stability analysis of fuzzy control systems
Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, 1996A discrete-time fuzzy control system which is composed of a dynamic fuzzy model and a fuzzy state feedback controller is proposed. Stability of the fuzzy control system is discussed and a sufficient condition to guarantee the stability of the system is given in terms of uncertain linear system theory.
S.G. Cao, N.W. Rees, Gang Feng
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Design and Implementation of Energy Management System With Fuzzy Control for DC Microgrid Systems
IEEE transactions on power electronics, 2013This paper presents the design and implementation of an energy management system (EMS) with fuzzy control for a dc microgrid system. Modeling, analysis, and control of distributed power sources and energy storage devices with MATLAB/Simulink are proposed,
Yu-Kai Chen +3 more
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