solution of fuzzy differential equations

Authors

m. otadi

m. mosleh

abstract

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 kim et al.‎ [11]. ‎in the present paper it is shown that the example presented by kim et al‎. ‎in the case i is not very accurate and in the case ii‎, ‎is incorrect.‎ ‎namely‎, ‎the exact solution proposed by the authors in the case ii are not solutions of the given hfde‎. ‎the correct exact solution is also presented here‎, ‎together with some results for characterizing solutions of fdes under‎ ‎hukuhara differentiability by an equivalent system of odes‎. ‎then‎, ‎the homotopy analysis method (ham) is applied to obtained the series solution of the hfdes‎. ‎finally‎, ‎we illustrate‎ ‎our approach by a numerical ‎example.‎

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Solution of fuzzy differential equations

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 ...

full text

Approximate Solution of Fuzzy Fractional Differential Equations

‎In this paper we propose a method for computing approximations of solution of fuzzy fractional differential equations using fuzzy variational iteration method. Defining a fuzzy fractional derivative, we verify the utility of the method through two illustrative ‎examples.‎

full text

FUZZY INTEGRO-DIFFERENTIAL EQUATIONS: DISCRETE SOLUTION AND ERROR ESTIMATION

This paper investigates existence and uniqueness results for the first order fuzzy integro-differential equations. Then numerical results and error bound based on the left rectangular quadrature rule, trapezoidal rule and a hybrid of them are obtained. Finally an example is given to illustrate the performance of the methods.

full text

Numerical solution of fuzzy differential equations under generalized differentiability by fuzzy neural network

In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called ne...

full text

Numerical solution of hybrid fuzzy differential equations by fuzzy neural network

The hybrid fuzzy differential equations have a wide range of applications in science and engineering. We consider the problem of nding their numerical solutions by using a novel hybrid method based on fuzzy neural network. Here neural network is considered as a part of large eld called neural computing or soft computing. The proposed algorithm is illustrated by numerical examples and the result...

full text

On Existence and Uniqueness of Solution of Fuzzy Fractional Differential Equations

The purpose of this paper is to study the fuzzy fractional differentialequations. We prove that fuzzy fractional differential equation isequivalent to the fuzzy integral equation and then using this equivalenceexistence and uniqueness result is establish. Fuzzy derivative is considerin the Goetschel-Voxman sense and fractional derivative is consider in theRiemann Liouville sense. At the end, we...

full text

My Resources

Save resource for easier access later


Journal title:
international journal of industrial mathematics

Publisher: science and research branch, islamic azad university, tehran, iran

ISSN 2008-5621

volume 8

issue 1 2016

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023