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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.
Muhammad Bilal Kadri, Arthur Dexter
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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
Madan M. Gupta +2 more
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Fuzzy systems and fuzzy expert control: An overview
The Knowledge Engineering Review, 1994Abstract This 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 ...
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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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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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Fuzzy implication in fuzzy systems control
Fuzzy Sets and Systems, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Application of fuzzy control in temperature control systems
Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011The article introduces in brief that with improvement of system's complexity, the traditional control gradually can't satisfy the requirement of control in the temperature control system. The requirement of control can be completed by application of fuzzy control and the prospect of fuzzy control in systems also brought up.
Zengfang Shi, Chao Wang
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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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Medical Fuzzy Control Systems with Fuzzy Arden Syntax
2017Arden Syntax is a formal language for representing and processing medical knowledge that is employed by knowledge-based medical systems. In HL7 International’s Arden Syntax version 2.9 (Fuzzy Arden Syntax), the syntax was extended by formal constructs based on fuzzy set theory and fuzzy logic, including fuzzy control.
Jeroen S. de Bruin +3 more
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On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems
Annual Reviews in Control, 2009A fairly general class of nonlinear plants can be modeled as fuzzy systems, i.e., as a time-varying convex combination of “vertex” linear systems. As many linear LMI control results naturally generalize to such fuzzy systems, LMI formulations for fuzzy control became the tool of choice in the 1990s.
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