# Stability Analysis of Fractional Differential Systems with Order Lying in (1, 2)

- Fengrong Zhang
^{1, 2}and - Changpin Li
^{1}Email author

**2011**:213485

https://doi.org/10.1155/2011/213485

© Fengrong Zhang and Changpin Li. 2011

**Received: **6 December 2010

**Accepted: **7 March 2011

**Published: **15 March 2011

## Abstract

The stability of -dimensional linear fractional differential systems with commensurate order and the corresponding perturbed systems is investigated. By using the Laplace transform, the asymptotic expansion of the Mittag-Leffler function, and the Gronwall inequality, some conditions on stability and asymptotic stability are given.

## Keywords

## 1. Introduction

Fractional calculus has a long history with more than three hundred years [1–3]. Up to now, it has been proved that fractional calculus is very useful. Many mathematical models of real problems arising in various fields of science and engineering were established with the help of fractional calculus, such as viscoelastic systems, dielectric polarization, electrode-electrolyte polarization, and electromagnetic waves [4–7].

Recently, the stability theory of fractional differential equations (FDEs) is of main interest in physical systems. Moreover, some stability results have been found [8–17]. These stability results are almost about the linear fractional differential systems with commensurate order (i.e., the fractional derivative order has to be an integer multiple of minimal fractional order [18]). For example, a necessary and sufficient condition on asymptotic stability of linear fractional differential system with order was first given in [9]. Then, some literatures on the stability of linear fractional differential systems with order have been appeared [11–15]. However, not all the fractional differential systems have fractional orders in (0, 1). There exist fractional models which have fractional orders lying in (1, 2), for example, super-diffusion [19]. Hence, the stability of linear fractional differential systems with order has also been considered by using the conversion methods and transfer function [8, 10]. Almost all of the above literatures dealt with the fractional differential systems with Caputo derivative. Recently, Qian et al. [16] have investigated the stability of fractional differential systems with Riemann-Liouville derivative whose order lies in (0, 1) in details. It is worth mentioning that not all of the stability conditions are parallel to the corresponding classical integer-order differential equations because of nonlocality and weak singularities of fractional calculus. For example, the solution to an autonomous fractional differential equation cannot define a dynamical system in the sense of semigroup [20]. Of course, some of the mathematical tools for the integer-order differential equation can be applied to fractional kinetics. In [20], the authors first define the Lyapunov exponents for fractional differential system then determine their bounds, where the basic ideas and techniques are borrowed from [21, 22].

In this paper, we study the stability of autonomous linear fractional differential systems, nonautonomous linear fractional differential systems, and the corresponding perturbed systems with order by using the properties of Mittag-Leffler functions and the Gronwall inequality.

The paper is organized as follows. In Section 2, we first recall some definitions and lemmas used throughout the paper. In Section 3, the stability analysis is presented for autonomous linear fractional differential systems with order . The stability of nonautonomous linear fractional differential systems and the corresponding perturbed systems are studied in Sections 4 and 5, respectively. Conclusions and comments are included in Section 6.

## 2. Preliminaries

Let us denote by the set of real numbers, denote by the set of positive real numbers, denote by the set of positive integer numbers, and denote by the set of complex numbers.

In this section, we recall the most commonly used definitions and properties of fractional derivatives, Mittag-Leffler functions, and their asymptotic expansions.

Definition 2.1.

where , is the Gamma function.

Definition 2.2.

Definition 2.3.

The following definitions of stability are introduced.

Definition 2.4.

The constant is an equilibrium of fractional differential system if and only if for all , where the operator denotes either or .

Without loss of generality, let the equilibrium be , we introduce the following definition.

Definition 2.5.

The zero solution of with order is said to be stable if, for any initial values ( ), there exists such that for all . The zero solution is said to be asymptotically stable if, in addition to being stable, as .

It is useful to recall the following asymptotic formulas for our developments in the sequel.

Lemma 2.6.

Proof.

These results were proved in [23].

Lemma 2.7 (see [25]).

where , denotes the eigenvalues of matrix and denotes the -norm.

Lemma 2.8 (Jordan Decomposition [26]).

where the are the Jordan blocks of with the eigenvalues of on the diagonal. The Jordan blocks are uniquely determined by .

Lemma 2.9 (see [27]).

## 3. Stability of Autonomous Linear Fractional Differential Systems

### 3.1. The Riemann-Liouville Derivative Case

where , matrix , and . Then, by analyzing the solutions of the above initial value problem (3.1)-(3.2), one can find the following result.

Theorem 3.1.

The autonomous fractional differential system (3.1) with Riemann-Liouville derivative and the initial conditions (3.2) is asymptotically stable iff . In this case, the components of the state decay towards 0 like . Moreover, the system (3.1) is stable iff either it is asymptotically stable, or those critical eigenvalues which satisfy have the same algebraic and geometric multiplicities.

Proof.

That is to say, ( ) from the asymptotic expansion (2.12) and ( ). Moreover, the components of the state decay towards 0 like . Taking into account the entire function , we also get the boundedness of ( ; ).

Let , where is the modulus of and .

If , we have the diagonal elements of matrix (3.14) ( ) from the asymptotic expansion (2.11). So, the solution of (3.1) is stable in this case.

According to the above discussions, the proof is completed.

### 3.2. The Caputo Derivative Case

where , , and are as in Section 3.1. Then, one can get the following theorem.

Theorem 3.3.

The autonomous fractional differential system (3.17) with Caputo derivative and initial conditions (3.18) is asymptotically stable iff . In this case, the components of the state decay towards 0 like . Moreover, the system (3.17) is stable iff either it is asymptotically stable, or those critical eigenvalues which satisfy have the same algebraic and geometric multiplicities.

Proof.

This theorem can be proved in the same manner as that in the proof of Theorem 3.1, so it is omitted here.

## 4. Stability of Nonautonomous Linear Fractional Differential Systems

### 4.1. The Riemann-Liouville Derivative Case

where , matrix , is a continuous matrix, and . The main results of this subsection are derived as follows.

Theorem 4.1.

If the matrix such that , the critical eigenvalues which satisfy have the same algebraic and geometric multiplicities, and is bounded, then the zero solution of (4.1) is stable.

Proof.

Thus, we derive that is bounded according to the condition , that is, the zero solution of (4.1) is stable. The proof is completed.

Similarly, we can derive the following conclusion.

Theorem 4.2.

If the matrix such that , , and ( , ) for , then the zero solution of (4.1) is asymptotically stable.

Proof.

So, the zero solution of (4.1) is asymptotically stable.

### 4.2. The Caputo Derivative Case

The main stability results of this subsection are derived as follows.

Theorem 4.3.

If the matrix such that , , the critical eigenvalues which satisfy have the same algebraic and geometric multiplicities, and is bounded, then the zero solution of (4.10) is stable.

Proof.

The proof line is similar to that of Theorem 4.1.

Theorem 4.4.

If the matrix such that , , and ( , ) for , then the zero solution of (4.10) is asymptotically stable.

Proof.

So, the zero solution of (4.10) is asymptotically stable.

## 5. Stability of the Perturbed Systems

The following theorem can be proved by the same argument used in the proof of Theorem 4.1.

Theorem 5.1.

If the matrix such that , , the critical eigenvalues which satisfy have the same algebraic and geometric multiplicities. Moreover, suppose that there exists a positive function which satisfies the following conditions:

then the zero solution of (5.1) is stable.

Theorem 5.2.

then the zero solution of (5.1) is asymptotically stable.

Proof.

So, the zero solution of (5.1) is asymptotically stable due to . The proof is thus finished.

## 6. Conclusion

It is well know that many physical phenomena having memory and genetic characteristics can be described by using the fractional differential systems. Especially, the fractional differential systems with order have recently gained an increasing attention [23, 28–31]. It should be noted that [29, 30] are earlier and interesting work on fractional interval systems. Motivated by the above research activities, in this paper, we have studied the stability of linear fractional differential systems and the corresponding perturbed systems with Rimann-Liouville derivative and Caputo derivative for the commensurate order . The main analytic tools used in this paper are the Mittag-Leffler function and the Gronwall inequality. For the autonomous linear fractional differential systems with order , the necessary and sufficient conditions on stability and asymptotic stability are given, which are almost the same as those with the fractional derivative order . But the components of the state decay towards 0 like , which is different from the case with Caputo derivative order . For the nonautonomous linear fractional differential systems, we have derived some sufficient conditions on stability and asymptotic stability. We have further given the asymptotic stability results of the perturbed systems with order .

## Declarations

### Acknowledgments

The authors wish to thank Professors D. Baleanu and Juan J. Trujillo for their kind invitation to submit our paper to their special issue on Fractional Models and their Applications. They also thank the anonymous reviewers of this paper for their careful reading and invaluable correction suggestions. The present work was partially supported by the National Natural Science Foundation of China under Grant no. 10872119 and the the Key Disciplines of Shanghai Municipality under Grant no. S30104.

## Authors’ Affiliations

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