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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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IEEE Transactions on Smart Grid, 2013
This paper presents a fuzzy based frequency control strategy by the Megawatt (MW) class distributed PV systems and electric vehicles (EVs). The frequency control is proposed from the view point of the frequency fluctuation problem produced by the large ...
M. Datta, T. Senjyu
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This paper presents a fuzzy based frequency control strategy by the Megawatt (MW) class distributed PV systems and electric vehicles (EVs). The frequency control is proposed from the view point of the frequency fluctuation problem produced by the large ...
M. Datta, T. Senjyu
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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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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 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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Fuzzy T-S Modeling and Fuzzy Control Research on Networked Control Systems
2007 IEEE International Conference on Automation and Logistics, 2007To solve the stability control problem of Networked Control Systems (NCS) with time delay, a new method of building a discrete fuzzy T-S model is proposed for NCS generalized plant, and the model is proved theoretically to be able to approach a real plant at an arbitrary precision.
Huiling Mu +3 more
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IEEE transactions on fuzzy systems, 2019
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-
Kangkang Sun +4 more
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The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-
Kangkang Sun +4 more
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ANFIS: adaptive-network-based fuzzy inference system
IEEE Transactions on Systems, Man and Cybernetics, 1993The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybrid learning procedure, the proposed
J. Jang
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IEEE Transactions on Cybernetics, 2020
This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states.
Shaocheng Tong, Xiao Min, Yuanxin Li
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This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states.
Shaocheng Tong, Xiao Min, Yuanxin Li
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