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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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Averaging in fuzzy controlled systems
Nonlinear Oscillations, 2012We consider the applicability of the scheme of complete averaging to control problems with terminal quality criterion in the case where the behavior of the system is described by a controlled fuzzy differential equation.
N. V. Skripnik +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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Calibration of fuzzy control systems
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002Fuzzy control systems (FCS) are usually designed through linguistic control rules and the operations among the fuzzy sets that define the fuzzy controller deal with fuzzy logic. However, the configuration and tuning of this kind of system represents a problem, although the modelling of the expert knowledge seems easy.
Agustín Jiménez +2 more
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Fuzzy systems and fuzzy expert control: An overview
The Knowledge Engineering Review, 1994AbstractThis paper presents an overview of fuzzy set theory and its application to the analysis and design of fuzzy expert control systems. Starting with a short account of the basic concepts and properties of fuzzy sets and fuzzy reasoning, a few fuzzy rule-based controllers, viz, basic single-input singleoutput fuzzy control, self-organizing fuzzy ...
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Stability of fuzzy control systems
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002Stability of a class of fuzzy control systems is analyzed by replacing the fuzzy controller with an appropriate describing function. Nonlinear analytical expressions for fuzzy controllers are derived. These expressions are numerically approximated by describing functions.
Celal Batur, Thananchai Leephakpreeda
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Expert Systems and Fuzzy Control
1985During the last two centuries the potential of electronic data processing (EDP) has been used to an increasing degree to support human decision making in different ways. In the sixties the management informations systems (MIS) created probably exaggerated hopes of managers. Since the late 1970s and early 1980s decision support systems (DSS) found their
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