نتایج جستجو برای: system of fuzzy equations

تعداد نتایج: 21372081  

Journal: :iranian journal of optimization 2009
t. allahviranloo l. jamshidi

adomian decomposition method has been applied to solve many functional equations so far. in this article, we have used this method to solve the fuzzy differential equation under generalized differentiability. we interpret a fuzzy differential equation by using the strongly generalized differentiability. also one concrete application for ordinary fuzzy differential equation with fuzzy input data...

Journal: :Int. J. Computational Intelligence Systems 2008
Annelies Vroman Glad Deschrijver Etienne E. Kerre

A method to solve linear fuzzy equations with a symmetric matrix is proposed. Ignoring the symmetry leads to an overestimation of the solution. Our method to find the solution of a system of linear fuzzy equations takes the symmetry of the matrix into account and is based on parametric functions. It is a practical algorithm using parametric functions in which the variables are given by elements...

Journal: :Inf. Sci. 2014
De-Chao Li Sheng-Ling Geng

This paper aims to solve the problem of multiple-objective linear optimization model subject to a system of inf-! composition fuzzy relation equations, where ! is R-, Sor QL-implications generated by continuous Archimedean t-norm (s-norm). Since the feasible domain of inf-! relation equations constraint is nonconvex, these traditional mathematical programming techniques may have difficulty in c...

The fuzzy linear second order equations with fuzzy initial values are investigatedin this paper. The analytic general solution solutions of them usinga rst solution is founded. The parametric form of fuzzy numbers is appliedto solve the second order equations. General solutions for fuzzy linear secondorder equations with fuzzy initial values are investigated and formulatedin four cases. A examp...

Journal: :journal of computational and applied research in mechanial engineering - jcarme 0
k. alipour department of mechatronics engineering, faculty of new sciences and technologies, university of tehran, tehran, iran m. ghiasvand department of electrical, biomedical and mechatronics engineering, islamic azad university, qazvin branch, qazvin, iran b. tarvirdizadeh department of mechatronics engineering, faculty of new sciences and technologies, university of tehran, tehran, iran

in this paper, the important formation control problem of nonholonomic wheeled mobile robots is investigated via a leader-follower strategy. to this end, the dynamics model of the considered wheeled mobile robot is derived using lagrange equations of motion. then, using adams multi-body simulation software, the obtained dynamics of the wheeled system in matlab software is verified. after that, ...

Journal: :international journal of industrial mathematics 2016
m. otadi m. mosleh

hybrid system is a dynamic system that exhibits both continuous and discrete dynamic behavior‎. ‎the hybrid differential equations have a wide range of applications in science and engineering‎. ‎the hybrid systems are devoted to modeling‎, ‎design‎, ‎and validation of interactive systems of computer programs and continuous systems‎. ‎hybrid fuzzy differential equations (hfdes) is considered by ...

2014
O. Sedaghatfar S. Moloudzadeh P. Darabi

In this paper, the variational iteration method for solving nth-order fuzzy integro-differential equations (nth-FIDE) is proposed. In fact the problem is changed to the system of ordinary fuzzy integrodifferential equations and then fuzzy solution of nth-FIDE is obtained. Some examples show the efficiency of the proposed method.

Chaos is a nonlinear behavior that shows chaotic and irregular responses to internal and external stimuli in dynamic systems. This behavior usually appears in systems that are highly sensitive to initial condition. In these systems, stabilization is a highly considerable tool for eliminating aberrant behaviors. In this paper, the problem of stabilization and tracking the chaos are investigated....

2009
CONSTANTIN VOLOSENCU DANIEL IOAN CURIAC

The paper presents a study upon the possibility to use adaptive-network-based fuzzy inference method (ANFIS) in the identification of distributed parameter systems, implementing a distributed sensor network in the system. Some main properties of different identification methods are presented with possible application. The fuzzy systems, implemented using rule bases, fuzzy values, membership fun...

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