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Titlebook: Analytical Methods in Fuzzy Modeling and Control; Jasek Kluska Book 2009 Springer-Verlag Berlin Heidelberg 2009 classification.control.con

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Book 2009lled Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-time dynamical systems. Main attention is paid to usability of the results for the control and computer engineering community and therefore simple and
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https://doi.org/10.1007/978-3-642-03177-9bout richness of the class of functions performed by the rule-based system can fail us. The number of fuzzy sets is important, since it determines the number of consequents of the rules; thus, it constrains the class of functions performed by the zero-order TS rule-based systems. This fact will be shown further on.
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https://doi.org/10.1007/978-3-642-03177-9nd analysis of the models. Thanks to such approach the comparison of the methods developed in this book with others will be facilitated. Symbolic quantities will be mainly used to ensure the generality of outcomes. Seldom, if ever, will numerical data be taken, to increase transparency of the examples.
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Fuzzy Rule-Based Systems with Polynomial Membership Functions,bout richness of the class of functions performed by the rule-based system can fail us. The number of fuzzy sets is important, since it determines the number of consequents of the rules; thus, it constrains the class of functions performed by the zero-order TS rule-based systems. This fact will be shown further on.
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https://doi.org/10.1057/9781137502537te machines, Petri nets, rules, etc. They are used particularly in the natural sciences and engineering disciplines such as physics, biology, electrical and computer engineering, in the social sciences such as economics or sociology. Engineers, computer scientists, physicists and economists use math
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https://doi.org/10.1007/978-3-642-03177-9a dimension to the input space we observe a twofold increase in the number of fuzzy “If-then” rules in the MISO P1-TS system and a rapid increase in the volume occupied by the matrices and vectors which represent this system. Namely, in the case of MISO P1-TS systems with . inputs, the dimension of
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