Results 311 to 320 of about 424,076 (355)
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Fuzzy control as a fuzzy deduction system
Fuzzy Sets and Systems, 2001The author gives a new and interesting translation strategy for linguistic control rules of the form: \textit{if} \(x\) is \(A\) \textit{then} \(y\) is \(B\). He reads them as: \( A(x) \land B(y) \to\text{ good} (x,y) \) with a new predicate \textit{good} expressing globally the control quality.
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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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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 Relational Control of an Uncertain System
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2014The paper considers the usefulness of a control strategy based on a fuzzy relational model of the controller to counteract uncertainties caused by measurement noise and unmeasured disturbances. The fuzzy relational model is identified using a combination of feedback error learning and fuzzy identification.
Bilal Kadri, Muhammad, Dexter, Arthur
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Fuzzy control of a transport/diffusion system
Control Engineering Practice, 1998Abstract This paper considers the control of tracer concentration in a tubular reactor with a relevant transport delay. The manipulated variable is a flow with known concentration, whereas the controlled variable is the output concentration. The controller is composed of an inferential and a predictive part.
MARSILI LIBELLI, STEFANO, COLZI A.
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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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A neuro-fuzzy systems for control applications
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report, 2002This paper describes DANIELA a neuro-fuzzy system for control applications. The system is based on a custom neural device that can implement either multilayer perceptrons, radial basis functions or fuzzy paradigms. The system implements intelligent control algorithms mixing neuro-fuzzy paradigms with finite state automata and is used to control a ...
F. BERARDI +3 more
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Modeling and control of hierarchical systems with fuzzy systems
Automatica, 1996The paper proposes to use a fuzzy methodology to model the supervision and planning levels of a three level hierarchical control system. Only the first level of the process and the controller itself remain crisp. The main advantage of this system is that all levels of this hierarchical system can be formulated in a same mathematical framework.
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Stability analysis of fuzzy control systems
Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, 1996A discrete-time fuzzy control system which is composed of a dynamic fuzzy model and a fuzzy state feedback controller is proposed. Stability of the fuzzy control system is discussed and a sufficient condition to guarantee the stability of the system is given in terms of uncertain linear system theory.
S G, Cao, N W, Rees, G, Feng
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On the accessibility/controllability of fuzzy control systems
Information Sciences, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Biglarbegian, M. +2 more
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