Research Article | Open Access

Xian-Lin Zhao, Ai-Min Wang, Cun-Li Dai, Xiao-Lin Li, Wei Lu, "Impulsive Controller Design for Complex Nonlinear Singular Networked Systems with Packet Dropouts", *Mathematical Problems in Engineering*, vol. 2013, Article ID 741908, 6 pages, 2013. https://doi.org/10.1155/2013/741908

# Impulsive Controller Design for Complex Nonlinear Singular Networked Systems with Packet Dropouts

**Academic Editor:**Tao Li

#### Abstract

Globally exponential stability of Complex (with coupling) Nonlinear Singular Impulsive Networked Control Systems (CNSINCS) with packet dropouts and time-delay is investigated. Firstly, the mathematic model of CNSINCS is established. Then, by employing the method of Lyapunov functional, exponential stability criteria are obtained and the impulsive controller design method is given. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed method.

#### 1. Introduction

At present, singular system is widely used in the control of spacecraft, flexible robot, complex power, large chemical and wireless transmission system [1–5]. Many results had been achieved for discrete singular system and time-delay singular system. Such as in [6], the nonlinear discrete singular perturbation model was established and the system condition was given. In [7], chattering free sliding mode control for uncertain discrete time-delay singular system was investigated. The asymptotically stable was established, and the chattering problem that appears in traditional variable structure system was eliminated. As for time-delay singular system, the stability of uncertain time-delay singular systems was researched and the asymptotic stability condition was achieved in [8] by using Jensen integral inequality and feedback control method.

On the other hand, singular system has impulsive behavior in many cases [9–14]. So it is very important to discuss the problem of impulsive control. For the stability of the impulsive control system, nonlinear impulsive control was put forward and the concept of asymptotic stability condition was provided in [11]. Asymptotic stability condition for a class of uncertain impulsive system was established through the comparison theorem in [12]. Switch control method was used to research the stability of singular impulsive system, robust stabilization, and control problem in [13]. Linear approximation and the LMI method were used, respectively, to study the problem of system stability and the sufficient conditions for asymptotic stability in [14].

In network impulsive control system packet dropouts and time-delay exist which will influence the stability of singular system. It is necessary to analyze stability condition and the method of controller design. That is the problem focussed in this study. According to the Lyapunov function theory and comparison theorem, the sufficient conditions for the global exponential stability of the system is obtained. The detailed design process of impulsive controller is given in the paper. System will be stable in accordance with the decay rate to achieve exponential stability. A numerical example is provided to illustrate the correctness of theoretical and the effectiveness of design method.

#### 2. The Mathematic Model of CNSINCS

The mathematic model of CNSINCS can be described as where is the state vector of the th node. is a constant matrix of . is known scalar. is a singular constant matrix, and , without loss of generality; we hypotheses . is a nonlinear function. is the internal coupling matrix. is the coupling matrix of the whole network structure and weights. is network transmission delay and is assumed to satisfy .

In the process of data transmitting, the buffer’s model can be described as:

The impulsive controller can be designed as where . Substituting (2) and (3) into (1), the closed-loop nonlinear singular impulsive networked system model is obtained as follows: where denotes that there are data dropouts and, , there are no packet dropouts.

Lemma 1. *Let be a symmetric positive definite matrix and . For any and , then *(1)*, *(2)*,*(3)*. *

Lemma 2. *According to the definition of Kronecker product, for a given matrix , and scalar , the following equality can be achieved: *(1)*, *(2)*, *(3)*.*

If , , and , according to Lemma 1, the complex nonlinear singular system can be expressed as Suppose Then (5) is equivalent to the following system:

Lemma 3 (see [15]). *If and satisfy the Lipchitz condition, there exists a uniqueness of solution to nonlinear singular impulsive differential equation which is written as
**
where . *

#### 3. The Design of CNSINCS

For the nonlinear singular networked impulsive control system (4), we have the following theorem.

Theorem 4. * If there exist and a nonsingular matrix , such that
**
where
**
then the nonlinear singular networked impulsive control system (4) is asymptotically stable:
**
where is the positive solution of , and :
*

*Proof. *From [16], we know that must have a solution. Set , where .

When , the derivative of along the trajectories of the CNSINCS (4) is
According to Lemma 3 we have

On the other hand, when ,
where , supposing that is random constant, a comparison system can be established as follows:
It is clear that when , according to [16], and we have when ; the trivial solution of the comparison system is
where is Cauchy matrix which satisfies
in which is the number of control impulses in the interval , , for ; we have
where

In the following, we will prove that the following inequality holds:
Since , so . If there exists which satisfies
From (16) and (24) we have
which contradicts with (23), and consequently (22) holds. Let ; then
Moreover
Combining the inequality (26) and (27),

which implies conclusion (22) and this completes the proof.

*Remark 5. *For the case , we can replace the condition with ; then the conclusion of Theorem 4 still holds except that now inequality (9) becomes
For , we have
in which .

The proof of the above conclusion remains largely the same as Theorem 4, so we omitted it to avoid repetition.

#### 4. Design Procedure of Impulsive Control for Complex Network

According to Theorem 4, the design process of impulsive control is given as follows.(1)Calculate the parameters .(2)Choose a matrix which satisfies .(3)For a given parameter , we can determine the control sequence , as follows. If , let ; then the upper bounds of time can be taken as ; if , let ; then the lower bounds of control intervals is .

#### 5. Numerical Simulation

In this section, a numerical example is presented to illustrate the effectiveness of derived results.

*Example 6. *Consider the following complicated nonlinear singular system:
The parameters are given as follows:
For simplicity, consider the system with 2 nodes. Assume that the external coupling matrix is and the internal coupling matrix is
Supposing that . According to Lemma 1, we can choose , . The region of parameters of chaotic system is , and the gain of impulsive controller is . The state trajectory diagram of system is depicted in Figure 1. For the case of packet dropouts probability is and initial condition is , , and .

Figure 1 shows that the asymptotic stability of the closed-loop uncertain system can be guaranteed using the networked impulsive controller designed in this paper.

#### 6. Conclusion

In this paper, the global exponential stability CNSINCS via impulsive control is investigated. According to the Lyapunov stability theory, the mathematic model of CNSINCS is established. A general model of network consisting of time-delay and packet dropouts has been formulated and the globally exponential stable sufficient conditions have been established. Impulsive controller, which may ensure the system achieves exponential stability with a given decay rate is designed. Therefore our control scheme is efficient and practical in dealing with problems of data transmission with time-delay and packet dropouts. As an application, a numerical simulation is given to demonstrate the usefulness and practicability of proposed theoretical results.

#### Acknowledgments

This work was supported by the Jiangsu Planned Projects for Postdoctoral Research Funds under Grants 1202005C and the Jiangsu Natural Science Funds for Young Scholar under Grants BK20130696.

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#### Copyright

Copyright © 2013 Xian-Lin Zhao et al. 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.