نتایج جستجو برای: s fuzzy model
تعداد نتایج: 2766560 فیلتر نتایج به سال:
The main feature of a Takagi-Sugeno (T-S) fuzzy model is to express the local dynamics of each fuzzy implication (rule) by a linear system model. The overall fuzzy model of the system is achieved by fuzzy “blending” of the linear system models. Parallel or feedback connections of T-S fuzzy systems which preserve the properties of each system are possible [1]. Thus a simple and straightforward a...
This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...
This paper presents a practical approach of nonlinear control of the F16 aircraft via multiple nonlinear model generation for any trimmed equilibriums. The approach is realized using the framework of a Takagi-Sugeno (T-S) fuzzy modeling and control. The nonlinear control algorithm consists of three parts. The first part determines a trimmed equilibrium of the F16 dynamics for a given desired fl...
معادلات انتگرال دیفرانسیل در مدل بندی مسائلی کاربردی چون انتقال گرما، پدیده انتشار و پخش نوترون مورد استفاده قرار می گیرند و نیز در برخی کاربردهای فیزیک و زیست شناسی و مهندسی استفاده وافر دارند و به تبع آن معادلات انتگرال دیفرانسیل فازی نیز مورد توجه قرار گرفته اند. معادله انتگرال دیفرانسیل غیر خطی زیر را در نظر می گیریم. در صورتی که توابع معلوم a(t)و k(t,s,x(t)) و f(t,x(t)) توابعی ف...
in this paper, by introducing two virtual decision-making units (dmus) called ideal dmu (idmu) and anti-ideal dmu (admu) with fuzzy inputs-outputs, the efficiency evaluation of dmus are done by fuzzy data envelopment analysis (fdea). therefore, we evaluate dmus from the perspective of the best and worst possible relative efficiency. for each dmu two efficiencies are calculated while inputs and ...
This paper adopts the spread of fuzzy variable as a new criteria in practical risk management problems, and develops a novel fuzzy expectation-spread (E-S) model for portfolio optimization problem. Since the spread is defined by Lebesgue-Stieltjes (L-S) integral, its computation for general fuzzy variables is a challenge issue for research, and usually depends on approximation scheme and soft c...
The advantage of solving the complex nonlinear problems by utilizing fuzzy logic methodologies is that the experience or expert’s knowledge described as a fuzzy rule base can be directly embedded into the systems for dealing with the problems. The current limitation of appropriate and automated designing of fuzzy controllers are focused in this paper. The structure discovery and parameter adjus...
In the recent years, theory of constraints (TOC) has emerged as an effective management philosophy for solving product mix problem with the aim of profit maximization by considering the bottleneck. Furthermore, Fuzzy set theory has been used to model systems that are hard to define precisely and represents an attractive tool to aid research in production management when the dynamics of the pr...
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