- Research Article
- Open Access
- Published:

# Nonlocal Controllability for the Semilinear Fuzzy Integrodifferential Equations in -Dimensional Fuzzy Vector Space

*Advances in Difference Equations*
**volume 2009**, Article number: 734090 (2009)

## Abstract

We study the existence and uniqueness of solutions and controllability for the semilinear fuzzy integrodifferential equations in -dimensional fuzzy vector space by using Banach fixed point theorem, that is, an extension of the result of J. H. Park et al. to -dimensional fuzzy vector space.

## 1. Introduction

Many authors have studied several concepts of fuzzy systems. Diamond and Kloeden [1] proved the fuzzy optimal control for the following system:

where and are nonempty compact interval-valued functions on . Kwun and Park [2] proved the existence of fuzzy optimal control for the nonlinear fuzzy differential system with nonlocal initial condition in by using Kuhn-Tucker theorems. Fuzzy integrodifferential equations are a field of interest, due to their applicability to the analysis of phenomena with memory where imprecision is inherent. Balasubramaniam and Muralisankar [3] proved the existence and uniqueness of fuzzy solutions for the semilinear fuzzy integrodifferential equation with nonlocal initial condition. They considered the semilinear one-dimensional heat equation on a connected domain for material with memory. In one-dimensional fuzzy vector space , Park et al. [4] proved the existence and uniqueness of fuzzy solutions and presented the sufficient condition of nonlocal controllability for the following semilinear fuzzy integrodifferential equation with nonlocal initial condition:

where , is a fuzzy coefficient, is the set of all upper semicontinuous convex normal fuzzy numbers with bounded -level intervals, is a nonlinear continuous function, is a nonlinear continuous function, is an continuous matrix such that is continuous for and with , , with all nonnegative elements, is control function.

In [5], Kwun et al. proved the existence and uniqueness of fuzzy solutions for the semilinear fuzzy integrodifferential equations by using successive iteration. In [6], Kwun et al. investigated the continuously initial observability for the semilinear fuzzy integrodifferential equations. Bede and Gal [7] studied almost periodic fuzzy-number-valued functions. Gal and N'Guérékata [8] studied almost automorphic fuzzy-number-valued functions.

In this paper, we study the the existence and uniqueness of solutions and controllability for the following semilinear fuzzy integrodifferential equations:

where is fuzzy coefficient, is the set of all upper semicontinuously convex fuzzy numbers on with , is a nonlinear regular fuzzy function, is a nonlinear continuous function, is continuous matrix such that is continuous for and with , , is control function and is initial value.

## 2. Preliminaries

A fuzzy set of is a function . For each fuzzy set , we denote by for any , its -level set.

Let be fuzzy sets of . It is well known that for each implies .

Let denote the collection of all fuzzy sets of that satisfies the following conditions:

(1) is normal, that is, there exists an such that ;

(2) is fuzzy convex, that is, for any , ;

(3) is upper semicontinuous, that is, for any , ;

(4) is compact.

We call an -dimension fuzzy number.

Wang et al. [9] defined -dimensional fuzzy vector space and investigated its properties.

For any , , we call the ordered one-dimension fuzzy number class (i.e., the Cartesian product of one-dimension fuzzy number ) an -dimension fuzzy vector, denote it as , and call the collection of all -dimension fuzzy vectors (i.e., the Cartesian product ) -dimensional fuzzy vector space, and denote it as .

Definition 2.1 (see [9]).

If , and is a hyperrectangle, that is, can be represented by , that is, for every , where with when , , then we call a fuzzy -cell number. We denote the collection of all fuzzy -cell numbers by .

Theorem 2.2 (see [9]).

For any with , there exists a unique such that ( and ).

Conversely, for any with and , there exists a unique such that .

Note (see [9]).

Theorem 2.2 indicates that fuzzy -cell numbers and -dimension fuzzy vectors can represent each other, so and may be regarded as identity. If is the unique -dimension fuzzy vector determined by , then we denote .

Let , be fuzzy subset of . Then .

Definition 2.3 (see [9]).

The complete metric on is defined by

for any , which satisfies .

Definition 2.4.

Let , then

Definition 2.5 (see [9]).

The derivative of a fuzzy process is defined by

provided that the equation defines a fuzzy .

Definition 2.6 (see [9]).

The fuzzy integral , is defined by

provided that the Lebesgue integrals on the right-hand side exist.

## 3. Existence and Uniqueness

In this section we consider the existence and uniqueness of the fuzzy solution for (1.3) ().

We define

Then

Instead of (1.3), we consider the following fuzzy integrodifferential equations in :

with fuzzy coefficient , initial value , and is a control function. Given nonlinear regular fuzzy function satisfies a global Lipschitz condition, that is, there exists a finite such that

for all . The nonlinear function is a continuous function and satisfies the Lipschitz condition

for all , is a finite positive constant.

Definition 3.1.

The fuzzy process with -level set is a fuzzy solution of (3.3) without nonhomogeneous term if and only if

For the sequel, we need the following assumptions.

(H1) is a fuzzy number satisfying, for , , the equation

where

and is continuous with , , for all .

(H2) .

In view of Definition 3.1 and (H1), (3.3) can be expressed as

Theorem 3.2.

Let . If hypotheses (H1)-(H2) are hold, then for every , (3.9) ( have a unique fuzzy solution .

Proof.

For each and , define by

Thus, is continuous, so is a mapping from into itself. By Definitions 2.3 and 2.4, some properties of , and inequalities (3.4) and (3.5), we have following inequalities. For ,

Therefore

Hence

By hypothesis (H2), is a contraction mapping.

Using the Banach fixed point theorem, (3.9) have a unique fixed point .

## 4. Controllability

In this section, we show the nonlocal controllability for the control system (1.3).

Definition 4.1.

Equation (1.3) is nonlocal controllable. Then there exists such that the fuzzy solution for (3.9) as where is target set.

Define the fuzzy mapping by

where is closed support of . Then there exists

such that

Then exists such that

We assume that are bijective mappings.

We can introduce -level set of of (3.4)-(3.5)

Then substituting this expression into (3.9) yields -level of .

For each ,

Therefore

We now set

where the fuzzy mapping satisfies above statements.

Notice that , which means that the control steers (3.9) from the origin to in time provided that we can obtain a fixed point of the operator .

(H3) Assume that the linear system of (3.9) is controllable.

Theorem 4.2.

Suppose that hypotheses (H1)–(H3) are satisfied. Then (3.9) are nonlocal controllable.

Proof.

We can easily check that is continuous function from to itself. By Definitions 2.3 and 2.4, some properties of , and inequalities (3.4) and (3.5), we have the following inequalities. For any ,

Therefore

Hence

By hypothesis (H2), is a contraction mapping. Using the Banach fixed point theorem, (4.8) has a unique fixed point .

## 5. Example

Consider the two semilinear one-dimensional heat equations on a connected domain for material with memory on boundary condition , and with initial conditions , where , . Let , , be the internal energy and let , , be the external heat.

Let

then the balance equations become

The -level sets of fuzzy numbers are the following: , for all . Then -level set of is

Further, we have

where and satisfy the inequality (3.4) and (3.5), respectively. Choose such that . Then all conditions stated in Theorem 3.2 are satisfied, so problem (5.2) has a unique fuzzy solution.

Let target set be . The -level set of fuzzy numbers is .

From the definition of fuzzy solution,

where .

Thus the -level of is

Then -level of is

Similarly

Hence

Then all the conditions stated in Theorem 4.2 are satisfied, so system (5.2) is nonlocal controllable on .

## References

Diamond P, Kloeden P:

*Metric Spaces of Fuzzy Sets: Theory and Applications*. World Scientific, River Edge, NJ, USA; 1994:x+178.Kwun YC, Park DG:

**Optimal control problem for fuzzy differential equations.***Proceedings of the Korea-Vietnam Joint Seminar, 1998*103–114.Balasubramaniam P, Muralisankar S:

**Existence and uniqueness of fuzzy solution for semilinear fuzzy integrodifferential equations with nonlocal conditions.***Computers & Mathematics with Applications*2004,**47**(6–7):1115–1122. 10.1016/S0898-1221(04)90091-0Park JH, Park JS, Kwun YC:

**Controllability for the semilinear fuzzy integrodifferential equations with nonlocal conditions.**In*Fuzzy Systems and Knowledge Discovery, Lecture Notes in Computer Science, 2006*.*Volume 4223*. Springer, Berlin, Germany; 221–230.Kwun YC, Kim MJ, Lee BY, Park JH:

**Existence of solutions for the semilinear fuzzy integrodifferential equations using by succesive iteration.***Journal of Korean Institute of Intelligent Systems*2008,**18:**543–548. 10.5391/JKIIS.2008.18.4.543Kwun YC, Kim MJ, Park JS, Park JH:

**Continuously initial observability for the semilinear fuzzy integrodifferential equations.***Proceedings of the 5th International Conference on Fuzzy Systems and Knowledge Discovery, October 2008, Jinan, China***1:**225–229.Bede B, Gal SG:

**Almost periodic fuzzy-number-valued functions.***Fuzzy Sets and Systems*2004,**147**(3):385–403. 10.1016/j.fss.2003.08.004Gal SG, N'Guérékata GM:

**Almost automorphic fuzzy-number-valued functions.***Journal of Fuzzy Mathematics*2005,**13**(1):185–208.Wang G, Li Y, Wen C:

**On fuzzy****-cell numbers and****-dimension fuzzy vectors.***Fuzzy Sets and Systems*2007,**158**(1):71–84. 10.1016/j.fss.2006.09.006

## Acknowledgment

This study was supported by research funds from Dong-A University.

## Author information

### Authors and Affiliations

### Corresponding author

## Rights and permissions

**Open Access**
This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (
https://creativecommons.org/licenses/by/2.0
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

## About this article

### Cite this article

Kwun, Y., Kim, J., Park, M. *et al.* Nonlocal Controllability for the Semilinear Fuzzy Integrodifferential Equations in -Dimensional Fuzzy Vector Space.
*Adv Differ Equ* **2009**, 734090 (2009). https://doi.org/10.1155/2009/734090

Received:

Revised:

Accepted:

Published:

DOI: https://doi.org/10.1155/2009/734090

### Keywords

- Fuzzy Number
- Lipschitz Condition
- Connected Domain
- Fuzzy Function
- Fuzzy Process