نتایج جستجو برای: fuzzy stability

تعداد نتایج: 386472  

In this paper some algebraic structures for linguistic fuzzy models are defined for the first time. By definition linguistic fuzzy norm, stability of these systems can be considered. Two methods (normed-based & graphical-based) for stability analysis of linguist fuzzy systems will be presented. At the follow a new simple method for linguistic fuzzy numbers calculations is defined. At the end tw...

2010
Ken Yeh Cheng-Wu Chen

The fuzzy Lyapunov method is investigated for use with a class of interconnected fuzzy systems. The interconnected fuzzy systems consist of J interconnected fuzzy subsystems, and the stability analysis is based on Lyapunov functions. Based on traditional Lyapunov stability theory, we further propose a fuzzy Lyapunov method for the stability analysis of interconnected fuzzy systems. The fuzzy Ly...

Journal: :iranian journal of fuzzy systems 0
jiaxian wang school of mathematics and statistics, xidian university, xi'an, 710071, china junmin li school of mathematics and statistics, xidian university, xi'an, 710071, china

in this paper, a new t-s fuzzy hyperbolic delay model for a class of nonlinear systems with time-varying delay, is presented to address the problems of stability analysis and feedback control. fuzzy controller is designed based on the parallel distributed compensation (pdc), and with a new lyapunov function, delay dependent asymptotic stability conditions of the closed-loop system are derived v...

Journal: :journal of ai and data mining 2015
m. vahedi m. hadad zarif a. akbarzadeh kalat

this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

2015
L'ubomír Antoni Stanislav Krajci Ondrej Kridlo

The efficient selection of relevant extents is an important issue for investigation in formal concept analysis. The notion of stability has been adopted for this reasoning. We present three different methods for evaluation of stability and we summarize the comparative remarks.

Journal: :iranian journal of fuzzy systems 2013
i. sadeqi f. moradlou m. salehi

n this paper we study the hyers-ulam-rassias stability of cauchyequation in felbin's type fuzzy normed linear spaces. as a resultwe give an example of a fuzzy normed linear space such that thefuzzy version of the stability problem remains true, while it failsto be correct in classical analysis. this shows how the category offuzzy normed linear spaces differs from the classical normed linearspac...

Journal: :international journal of nonlinear analysis and applications 2010
s. abbaszadeh

in this paper, we prove the generalized hyers--ulamstability of a quadratic and quartic functional equation inintuitionistic fuzzy banach spaces.

1999
F. Cuesta F. Gordillo A. Ollero

This paper studies the stability analysis of multivariable fuzzy control systems. Particularly, the stability of Takagi-Sugeno (TS) systems is addressed. The results presented in the paper make possible the application of both input-output and frequency response methods to TS systems identified from Input-Output data. The paper also presents the Fuzzy Algorithm Stability Tool (FAST) toolbox dev...

2006
H H Gonska G Freiling

Fuzzy control has achieved numerous successful industrial applications. However, stability analysis for fuzzy control systems remains a difficult problem, and most of the critical comments on fuzzy control are due to the lack of a general method for its stability analysis. Although significant research efforts have been made in the literature, appropriate tools for this issue have yet to be fou...

2002
Chung-Shi Tseng Bor-Sen Chen

This paper studies the maximum stability margin design for nonlinear uncertain systems using fuzzy control. First, the Takagi and Sugeno fuzzy model is employed to approximate a nonlinear uncertain system. Next, based on the fuzzy model, the maximum stability margin for a nonlinear uncertain system is studied to achieve as much tolerance of plant uncertainties as possible using a fuzzy control ...

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