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A Fuzzy Tuner for Fuzzy Logic Controllers
1992 American Control Conference, 1992A two-level fuzzy tuning scheme is presented in this paper. The fuzzy tuner in the upper level is used to design the membership functions of the fuzzy logic controller in the lower level. The scheme provides an effective means for obtaining a good performance of the controller in a short time with a low computational burden.
Zhen-Yu Zhao +2 more
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Design of a fuzzy logic controller as a suction controller
Fuzzy Sets and Systems, 1997Abstract A fuzzy logic controller (FLC) designed as a suction controller is proposed. Firstly, we prove that there exists a switching line in the FLC, and the slope of the switching line is determined by scaling factors. Secondly, a Lyapunov function is selected and sufficient conditions for the fuzzy control system (FCS) to be globally ...
Tsu-Tian Lee, Kuo-Yang Tu, Wen-Jieh Wang
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Vague controller: A generalization of fuzzy logic controller
International Journal of Systems Science, 1999In this research, a vague controller (VC) is synthesized by using the notion of vague sets, which are a generalization of fuzzy sets and characterized by a truth-membership function and a falsity-membership function. The vague sets follow the basic set operations and logic operations defined for fuzzy sets, and are superior to fuzzy sets in that they ...
Cheng-Liang Chen, Chung-Tyan Hsieh
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2000
The fuzzy set notion enables us to define the progressive membership of an element to a class, that is to say it belongs to this class more or less strongly. The membership of an object in a class defines a degree of membership given between 0 and 1.
Mohand Mokhtari, Michel Marie
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The fuzzy set notion enables us to define the progressive membership of an element to a class, that is to say it belongs to this class more or less strongly. The membership of an object in a class defines a degree of membership given between 0 and 1.
Mohand Mokhtari, Michel Marie
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ADAPTIVE TUNING OF FUZZY LOGIC CONTROLLERS
IFAC Proceedings Volumes, 1994Abstract A Linguistic Equation Framework developed for adaptive expert systems provides a flexible environment for tuning fuzzy logic controllers. Simulation results, expert knowledge and process experiments can be combined in the development procedure.
E.K. Juuso, J. Myllyneva, K. Leiviskä
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1989
In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work.
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In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work.
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Computational complexity of general fuzzy logic control and its simplification for a loop controller
Fuzzy Sets and Systems, 2000Yong Ho Kim
exaly