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

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书目名称Analytical Methods in Fuzzy Modeling and Control影响因子(影响力)




书目名称Analytical Methods in Fuzzy Modeling and Control影响因子(影响力)学科排名




书目名称Analytical Methods in Fuzzy Modeling and Control网络公开度




书目名称Analytical Methods in Fuzzy Modeling and Control网络公开度学科排名




书目名称Analytical Methods in Fuzzy Modeling and Control被引频次




书目名称Analytical Methods in Fuzzy Modeling and Control被引频次学科排名




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书目名称Analytical Methods in Fuzzy Modeling and Control年度引用学科排名




书目名称Analytical Methods in Fuzzy Modeling and Control读者反馈




书目名称Analytical Methods in Fuzzy Modeling and Control读者反馈学科排名

CLAMP

Tdd526

innovation

侵略

Comprehensive Study and Applications of P1-TS Systems,ynomial membership functions. They are highly interpretable and therefore they seem to be particularly important from the engineering point of view. In order to show that there are quite a lot of applications of P1-TS systems, many examples of exact modeling of conventional systems will be given, es

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Modeling of Multilinear Dynamical Systems from Experimental Data,ich is an essential part of any control system design. Rapid development of intelligent control methodologies such as artificial neural networks, fuzzy logic theory, and rule-based expert systems, have provided alternative tools to tackle the problem of system identification [203]. A large number of

corpus-callosum

Binary Classification Using P1-TS Rule Scheme,or binary-valued. Such algorithms belong to important techniques in machine learning, computational intelligence and data mining [137], [201]. Classification systems (. for short) are used for solving the problems which arise in many fields including pattern recognition, vision analysis and other de

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gorgeous

1434-9922 general analytical theory of exact fuzzy modeling and contro.This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of

破布

Springer Series in Materials Sciences to fuzzy identification are based on linguistic fuzzy modeling, fuzzy relational equation modeling and Takagi-Sugeno modeling [13]. In this chapter we present a new effective method of modeling continuous multilinear dynamical systems using the Takagi-Sugeno fuzzy expert system.