Results 281 to 290 of about 25,079 (311)
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Stability analysis of fuzzy multivariablesystems: Vector Lyapunov function approach

IEE Proceedings - Control Theory and Applications, 1997
The paper describes a design methodology to analyze the stability of a class of nonlinear systems which can be described through a fuzzy dynamic model. The considered model is based on the decomposition of the state space region of the closed loop fuzzy system in \(N\) subregions with \(N\) interacting closed loop subystems. The stability conditions of
Cheng, C. M., Rees, N. W.
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Analysis of the Functional Block and Operator Involved in Fuzzy System Design

2004
A great deal of research has been carried out into the main architectures, learning abilities and applications of fuzzy systems. Studies have addressed the problem of selecting different T-norm, T-conorm, types of membership function, different defuzzifier operator and fuzzy implication operator; these constitute the essential functional components of ...
Olga Valenzuela   +5 more
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Structural analysis of fuzzy controller with gaussian membership function

IFAC Proceedings Volumes, 1999
Abstract Based on Mamdani's Max-Min inference operator, this paper presents an approach to the structure analysis of fuzzy controller with normal-distribution-shaped membership function. The authors deduce the output formulas of a typical fuzzy controller with linear control rales.
Xiang-Jie Liu, Xiao-Xin Zhou
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Describing function analysis of uncertain fuzzy vehicle control systems

Neural Computing and Applications, 2011
In this paper, some useful frequency domain methods including describing function, parameter space, and Kharitonov approach are applied to analyze the stability of an uncertain fuzzy vehicle control system for limit cycle prediction. A systematic procedure is proposed to solve this problem. The fuzzy controller can be linearized by the use of classical
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Investigating approximate reasoning and fuzzy control by concepts of functional analysis

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97, 2002
We investigate the input-output behaviour of the inference machine of a fuzzy controller, which is interpreted as a functional operator operating on the set of all fuzzy sets defined on a given universe. The concepts of fixed point, eigen function, eigen value and linearity are suitably translated into the fuzzy approach presented.
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Propositions for Fuzzy Characteristic Functions in Data Analysis

1982
The author proposes a data coding technique using fuzzy characteristic functions, the construction of which depends on initial data. Application of a linear data analysis method to these coded data is (approximately) equivalent to the cor — responding non linear method applied to the initial data.
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Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and its Application to PMSM

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
Lakshmanan Shanmugam, Young Hoon Joo
exaly  

An analysis of choice functions for Fuzzy ART using grammatical evolution

Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Mia Gerber, Nelishia Pillay
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