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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.
Seyed Mohammad Mehdi, Abbasi +1 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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Fuzzy systems in instrumentation: fuzzy control
Proceedings of 1995 IEEE Instrumentation and Measurement Technology Conference - IMTC '95, 2002This paper presents a short overview of fuzzy control and discusses fuzzy partition in comparison with classical A/D and dither quantification.
E.M. Petriu, G. Eatherley
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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 System Design via Fuzzy Lyapunov Functions
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008This correspondence deals with the problems of analysis and design for a class of continuous-time Takagi-Sugeno fuzzy control systems. Sufficient conditions for the stability of fuzzy control systems are derived based on a fuzzy Lyapunov function. Both parallel and nonparallel distributed compensation controllers are considered.
J, Li, S, Zhou, S, Xu
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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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Aggregated fuzzy control systems
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002A multi-resolutional approach in generating a hierarchical and aggregated fuzzy system description is provided. The process includes aggregation of the fuzzy sets describing the control system as well as the aggregation of the rules that map a collection of fuzzy set to another set.
L. Acar +3 more
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Fuzzy implication in fuzzy systems control
Fuzzy Sets and Systems, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multivariable Structure of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Application of fuzzy set theory to the design of control systems has led to interest in the description of multivariable fuzzy systems. The authors present an idea for the solution of multivariable fuzzy equations by decomposition of a multivariable fuzzy system into a set of one- dimensional systems. The authors use the block diagram representation of
Gupta, Madan M. +2 more
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