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On fuzzy alternate control systems
2021 13th International Conference on Advanced Computational Intelligence (ICACI), 2021Some researchers have worked on intermittent control and alternate control. In both cases, the choice of the control was a constant quantity. But, in real life, this situation is hard to come by for the reason that control may vary with time and circumstances owing to machine or human errors or both.
Wei Zhang +4 more
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Fuzzy Optimal Control for Multistage Fuzzy Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2011In the case that a system is affected by fuzzy factors, a fuzzy optimal-control problem is proposed. A fuzzy optimal-control problem for a multistage fuzzy system is considered to optimize the expected value of a fuzzy objective function subject to a multistage fuzzy system where, at every stage, the system is disturbed by a fuzzy variable.
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2009
Fuzzy control systems are developed based on fuzzy set theory, attributed to Lotfi A. Zadeh (Zadeh, 1965, 1973), which extends the classical set theory with memberships of its elements described by the classical characteristic function (either “is” or “is not” a member of the set), to allow for partial membership described by a membership function ...
Guanrong Chen, Young Hoon Joo
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Fuzzy control systems are developed based on fuzzy set theory, attributed to Lotfi A. Zadeh (Zadeh, 1965, 1973), which extends the classical set theory with memberships of its elements described by the classical characteristic function (either “is” or “is not” a member of the set), to allow for partial membership described by a membership function ...
Guanrong Chen, Young Hoon Joo
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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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Fuzzy logic in control systems: fuzzy logic controller. I
IEEE Transactions on Systems, Man, and Cybernetics, 1990For pt.I see ibid., vol.20, no.2, p.404-18, 1990. The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined. Several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated ...
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Stability of Fuzzy Control Systems
1993FKBC has been proven to be a powerful tool when applied to the control of processes which are not amenable to conventional, analytic design techniques. The design of most of the existing FKBC has relied mainly on the process operator’s or control engineer’s experience based heuristic knowledge. Hence, the controller’s performance is very much dependent
Hans Hellendoorn +2 more
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A mixed fuzzy controller for MIMO systems
Fuzzy Sets and Systems, 2001Abstract The multi-input/multi-output (MIMO) systems usually possess characteristics of nonlinear dynamics coupling. Therefore, the difficulty of MIMO systems control is how to overcome the coupling effects among each degree of freedom. The model-based decoupling approach is not practical for real-time control due to computation burden and dynamic ...
Ruey-Jing Lian, Shiuh-Jer Huang
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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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An Optimal Control Problem of Adaptive Fuzzy Controllers for Fuzzy Control Systems
2010 International Conference on Intelligent Computation Technology and Automation, 2010Advances in nonlinear control theory have provided the mathematical foundations necessary to establish conditions for stability of adaptive fuzzy controllers. In this paper, we dedicate to fuzzy control systems with the use of Popov’s hyper-stability theory.
Gang Liu +3 more
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Fuzzy modeling of control systems
IEEE Transactions on Aerospace and Electronic Systems, 1995A new approach is described for fuzzy modeling of control systems. It is shown that conventional concepts and criteria of stability and controllability of a control system can be extended to a fuzzy setting. More precisely, we establish a fuzzy dynamical model for nonlinear control system, that can be consistently applied to all linear multiinput ...
J.J. Weiss, T.T. Pham, Guanrong Chen
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