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## Time-Delay Systems and Its Applications in Engineering 2014

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Research Article | Open Access

Volume 2014 |Article ID 428143 | https://doi.org/10.1155/2014/428143

Chen Caixue, Xie Yunxiang, "Robust Stability Analysis of Nonlinear Fractional-Order Time-Variant Systems", Mathematical Problems in Engineering, vol. 2014, Article ID 428143, 6 pages, 2014. https://doi.org/10.1155/2014/428143

# Robust Stability Analysis of Nonlinear Fractional-Order Time-Variant Systems

Accepted30 May 2014
Published30 Jun 2014

#### Abstract

This paper presents a stability theorem for a class of nonlinear fractional-order time-variant systems with fractional order    by using the Gronwall-Bellman lemma. Based on this theorem, a sufficient condition for designing a state feedback controller to stabilize such fractional-order systems is also obtained. Finally, a numerical example demonstrates the validity of this approach.

#### 1. Introduction

Recently, fraction-order system or system containing fractional derivatives and integrals has been studied widely [15]. It was found that many systems in interdisciplinary fields could be elegantly described with the help of fractional derivatives and integrals, such as viscoelastic system, dielectric polarization, electrode-electrolyte polarization, and electromagnetic waves [24]. In fact, real word processes generally or most likely are fractional-order systems. Moreover, fractional-order controllers [6, 7] have so far been implemented to enhance the robustness and the performance of the closed loop control system.

The problem of stability is a very essential and crucial issue for control systems including fractional-order system. Very recently, the stability problem of fractional-order system has been investigated both from an algebraic and from an analytic point of view [811]. By analyzing the characteristic equation of the Jacobian matrix, an asymptotically stable critical was proposed in [12]. As a way of efficiently solving the robust stability and stabilization problem, the linear-matrix-inequality (LMI) approach was presented [1315] that provided the sufficient condition and the designing method of stabilizing controllers for fractional-order system. Note that the existing LMI-based control methods for fractional-order system only focus on the linear system but not on the case of nonlinear system. To account this problem, based on the generalization of Gronwall-Bellman lemma, the analytical stability conditions and state feedback stabilization problem of nonlinear affine fractional-order system have been investigated in [1618]. In [19], by using of Mittag-Leffler function, Laplace transform, and the generalized Gronwall inequality, a new sufficient condition ensuring local asymptotic stability and stabilization of a class of fractional-order nonlinear systems with fractional-order    was proposed. Based on Lyapunov’s second method, a novel stability criterion for a class of nonlinear fractional differential system was presented in [20].

Motivated by the above mentioned works, the main purpose of this this paper is to consider the stability problem of a class of nonlinear fractional-order time-variant systems. The main contribution of this paper is as follows. First, the time-variant uncertainty was discussed for fractional-order nonlinear system. Second, by using Gronwall-Bellman lemma, a stability condition for such fractional-order time-variant systems is presented. The rest of this paper is organized as follows. In Section 2, the problem formulation and some preliminaries are presented. The main results are derived in Section 3. The efficiency of the approach is shown through an illustrative example in Section 4. Finally, some conclusions are drawn in Section 5.

Throughout this paper, denotes an -dimensional Euclidean space and is the set of all real matrices. The matrix norms are defined as . is  the  element  of  matrix , and ,  .

#### 2. Fractional Derivative and Preliminaries

In this paper, the following Caputo definition [1] is adopted for fractional derivative of order for function : where is an integer satisfying and is the well-known Gamma function. The Laplace transform of the Caputo fractional derivative (1) of order is where denotes the Laplace operator. Note that upon considering all the initial conditions to be zero, (2) can be reduced to

The two-parameter Mittag-Leffler function , which plays a very important role in the fractional calculus, is introduced as follows.

Definition 1 (see [1]). The two-parameter Mittag-Leffler function is defined by The Laplace transform of the Mittag-Leffler function is where .

To prove the main results in the next section, the following lemmas are needed.

Lemma 2 (see [1]). If , is an arbitrary real number, is a constant satisfying , and is a real constant, then

For the -dimension matrix, one has the following lemma.

Lemma 3 (see [17]). If and , is an arbitrary real number, is such that and is a real constant, then where denotes the th eigenvalue of matrix and denotes the -norm.

Lemma 4 (Gronwall-Bellman lemma [21]). If where all the functions involved are continuous on , , and , then satisfies

#### 3. Stability Analysis of Nonlinear Fractional-Order Time-Variant Systems

Consider the -dimensional nonlinear fractional-order time-variant system described by the following form: where ,   is a time-variant regular matrix, and is a nonlinear function of state , which is Lebesgue measurable with respect to on . Let , then is a zero solution of nonlinear fractional-order time-variant system (10) with .

Based on the aforementioned definition and lemmas, we first give out the stability theorem for nonlinear fractional-order time-variant system (10).

Theorem 5. For the nonlinear fractional-order system (10) with , assume that(i),  and ;(ii), and ;(iii), ,
then the zero solution of system (10) is asymptotically stable.

Proof. By the assumption (i), it yields that is, for any given , there exists , when , it has Setting , when , then As a result, Without loss of generality, assume that , then from (13) and (14), it obtains It follows that, that is On the other hand, by the assumption (ii) of Theorem 5, for any given , there exists , when , it has Rewriting system (10) with as taking Laplace transform on the system (19), it obtains Then, taking Laplace inverse transform for (20) by using the inverse Laplace transform formula of the Mittag-Leffler function, it yields Taking , when , we have Substituting (17) and (18) into (22), it results where .
Since the eigenvalues of satisfy the assumption (iii) of Theorem 5, then from Lemma 3 there exists a real constant such that
Substituting (24) into (23), it gives
Setting and using Gronwall-Bellman lemma, it follows from (25) that The integral in (27) equals the sum of the two parts Since and when , we obtain Similarly,
From (28) to (30), and with , (27) gives Now for arbitrarily small , it can be proved that which implies stability of the zero solution. This completes the proof.

In particular, if , the following corollary is easily derived.

Corollary 6. For the nonlinear fractional-order system (10) with , assume that(i) and , ;(ii), and , then the zero solution of system (10) is asymptotically stable.

Based on Corollary 6 and according to the stability theory of linear fractional-order system and the pole placement technique of the linear control theory (see, e.g., [16, 17, 22]), it is easy to get the stabilization theorem of nonlinear fractional-order system (10).

Corollary 7. Assume that (i);(ii), and ,and if is selected to, such that, , then the nonlinear fractional-order system (10) can be stabilized by the state feedback controller .

#### 4. Numerical Example

Consider the following fractional-order time-variant Lorenz system:

where . Lorenz system (33) can be rewritten as where and

Setting , , , , . To simulate the fractional order systems, we use Oustaloup’s recursive poles/zeros filter [3] (an integer order system) of order three to approximate the fractional operator , which has an error about  dB in the frequency range  rad/s to  rad/s. We use this recursive poles/zeros filter of order three to approximate the fractional operator. The initial value of the system . The commensurate fractional-order Lorenz system (34) is chaotic without the controller, which is shown in Figure 1.

Note that and To stabilize the fractional-order system (33), we select , which makes and , by the eigenvalues of being . So the conditions of Corollary 7 are satisfied. Thus, the fractional-order system (33) can be stabilized by the state feedback controller . The simulation result (Figure 2) shows that it is asymptotically stable and its states converge to zero, which shows that the obtained theoretic results are feasible and efficient for the nonlinear fractional-order system.

#### 5. Conclusion

In this paper, based on the Gronwall-Bellman lemma and the property of fractional calculus, a stabilization theorem of a class of nonlinear fractional-order time-variant systems with fractional order has been proven theoretically. Furthermore, the sufficient condition for designing a state feedback controller to stabilize such fractional-order systems was also obtained. Finally, a numerical example demonstrates the validity of this approach.

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgments

This research is supported by National Natural Science Foundation of China (61104072) and Research Fund of Hunan Provincial Education Department (14JJ2073).

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Copyright © 2014 Chen Caixue and Xie Yunxiang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.