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Hierarchical Fuzzy Controllers
IFAC Proceedings Volumes, 1995Abstract The paper presents Fuzzy Logic Controllers (FLC) with hierarchically structured rule base as nonlinear blocks used in a control system for direct control or supervision of standard controllers. Unified approach based on Fuzzy Logic Neural Networks (FLNN) is used to reveal the essential functions of a FLC.
Petr Horáček, Zdenek Binder
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Journal of Cybernetics, 1976
Abstract A fuzzy program is defined as an ordered sequence of fuzzy instructions. In the execution of a fuzzy program, fuzzy instructions are translated into machine instructions by the use of MAX-METHOD and backtracking. To show how a fuzzy program is executed, a simulation system is exploited which controls a simple inchworm robot.
Uragami, Masato +2 more
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Abstract A fuzzy program is defined as an ordered sequence of fuzzy instructions. In the execution of a fuzzy program, fuzzy instructions are translated into machine instructions by the use of MAX-METHOD and backtracking. To show how a fuzzy program is executed, a simulation system is exploited which controls a simple inchworm robot.
Uragami, Masato +2 more
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IEEE Transactions on Cybernetics, 2020
This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of
Wei Sun +4 more
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This paper focuses on the practical output tracking control for a category of high-order uncertain nonlinear systems with full-state constraints. A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of
Wei Sun +4 more
semanticscholar +1 more source
Journal of Bioscience and Bioengineering, 2000
Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fuzzy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control.
H, Honda, T, Kobayashi
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Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fuzzy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control.
H, Honda, T, Kobayashi
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Fixed-Time Fuzzy Control for a Class of Nonlinear Systems
IEEE Transactions on Cybernetics, 2020Fixed-time tracking control is considered for a class of nonlinear systems in this article. Different from the conventional literature on fixed-time control studies, in this article, the nonlinearities of systems are all completely unknown.
Yumei Sun +4 more
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Controllability of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Controllability properties of fuzzy dynamic systems are presented using graph representation. The indices of stability and controllability are introduced. A necessary condition for controllability is formulated. An algorithm for finding acceptable controls, based on a Lyapunov-like approach, is presented. A numerical example is given.
Gupta, Madan M. +2 more
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Fuzzy-PID controllers vs. fuzzy-PI controllers
Proceedings of IEEE 5th International Fuzzy Systems, 2002The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
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Singularity-Free Fixed-Time Fuzzy Control for Robotic Systems With User-Defined Performance
IEEE transactions on fuzzy systems, 2020In this article, the singularity-free adaptive fuzzy fixed-time control problem is studied for an uncertain n-link robotic system with the position tracking error constraint.
Yingnan Pan, Peihao Du, Hong Xue, H. Lam
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IEEE Transactions on Cybernetics, 2020
This article focuses on finite-time adaptive fuzzy output-feedback control for a class of nontriangular nonlinear systems with full-state constraints and unmeasurable states.
Hua-guang Zhang, Yang Liu, Yingchun Wang
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This article focuses on finite-time adaptive fuzzy output-feedback control for a class of nontriangular nonlinear systems with full-state constraints and unmeasurable states.
Hua-guang Zhang, Yang Liu, Yingchun Wang
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Fuzzy Control Systems: Past, Present and Future
IEEE Computational Intelligence Magazine, 2019More than 40 years after fuzzy logic control appeared as an effective tool to deal with complex processes, the research on fuzzy control systems has constantly evolved. Mamdani fuzzy control was originally introduced as a modelfree control approach based
Anh‐Tu Nguyen +5 more
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