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Further results on stability of system with two additive time-varying delays

SUHong,XUZhaodi,WANGTingting

This paper contributes to the study of stability of linear systems with two additive time-varying delays.In the case of linear systems, a lot of stability criteria have been proposed, which all are aimed to reduce the conservatism of stability systems.However, seldom have the existing methods contributed on the linear systems with two additive time-varying delays.In this paper, we first present an alternative inequality based on the reciprocally convex combination inequality and Park inequality.By designing an inequality technique, we can obtain a sufficient condition theorem and apply some existing methods to tractable LMI.Finally, time delay derivate by using our theorem is better than that of by using the existing ones under the same system.Numerical examples are presented to demonstrate the improved method is effective and feasibly.

two additive delay; linear matrix inequality; stability analysis

0 Introduction

During the past several decades, the stability of time delay systems have been widely applied in various practical systems, such as engineering systems, biology, economics, neural networks and so on.Since time delays are also the main reason of causing oscillation, divergence or instability.Considerable efforts have been made the stability for systems with time delays and many important results on the dynamical behaviors have been reported, the reader is referred to[1-5].The delay information of system stability criteria are divided into two categories: delay-independent stability criteria[6]and delay-dependent stability criteria[7].In the last decades, more attentions have been paid to delay-dependent stability of time-delay systems.Therefore, it is important to analysis the stability of delayed continuous system in the literature.

In the early time, researchers consider the following basic mathematical model[3-6]:

The same time , the Lyapunov-Krasovskii functional design which approaches in[11-15] do not make full use of the information aboutτ(t),τ1(t),τ2(t) which would be inevitably conservative to some extent.What is more, reducing conservatism is still remains challenging.

1 Model description and preliminaries

In this paper, we consider the following system with two additive time-varying delays:

Wherex(t)∈Rnis the state.AandAhare known system matrices of appropriate dimensions.τ1(t) andτ2(t) represent the two time-varying state delay and satisfying:

Therefore the system (1) can be rewritten under the condition (3) :

Lemma 1.For any vectorsa,b∈Rnand for any positive definite symmetric matrixX

±2aTb≤aTXa+bTX-1b

2 Application of the new inequality

The objective of this section is to provide an inequality based on lemma 1 and lemma 2.

Then the following inequality holds:

3 Application to the stability analysis of time-varying delay systems

Theorem.For given scalars 0≤τ<∞, 0≤τ1<∞, 0≤τ2<∞,h>0,h1>0,h2>0, then the system (1) is asymptotically stable with delaysτ(t),τ1(t),τ2(t), if there exist positive matricesP,Qi(i=1,2,…,8) andRj(j=1,2,…,5), for any symmetric matricesS,U,T,W,V,Lwith appropriate dimension such that the following LMIs:

Where

Proof.We consider the following Lyapunov-Krasovskii function:

With

Taking the time derivative ofV(t,xt)

Where

Remark 1.It is vital to choice an appropriate LKF with the delay-dependent stability criterion.In order to demonstrate the effectiveness of corollary, we design the same LKF in the theorem.Furthermore, based on the proof, utilizing corollary of own, a sufficient asymptotic stability conditions are proposed in the theorem.

Remark 2.From the matrixΛof theorem, we can not only observe the relative betweenR1andR1,R2andR2,R3andR3,but also has a relationship betweenR1andR2,R2andR3,R1andR3.The new relationship will bring the new matrix element in the matrixΛ.Comparing with lemma 2, one case can demonstrate corollary of this paper is better than the method from lemma 2, and the case is that corollary.appears elementU,L,W,V, however, lemma 2 has nothing.Due to the new relationship, the matrix scaling with time delay information will be expand.So when the matrix multiply, it will be added to extra time-varying delay information items, then the information we can use will increase and LMIs solvable area will be expanded.

4 Illustrative example

Table 1 Calculated delay bounds of τ2 for given delay bound of τ1

Fig.1 The dynamical behavior of Example for

5 Conclusion

In this paper, we first present an alternative inequality based on the reciprocally convex combination inequality and Park inequality.By designing the inequality technique, a sufficient condition theorem is provided.Finally, we proved effectiveness of the proposed approach and reduce the conservatism of stability systems than existing ones through numerical example.Furthermore, we propose the alternative inequality also adapt to the multi-relationship among metric and stability of the multi-delay system, and there is has certain reference value.

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1673-5862(2015)01-0038-05

(School of Mathematics and Systems Science, Shenyang Normal University, Shenyang 110034, China)

帶有雙時變時滯線性系統(tǒng)的穩(wěn)定性分析

蘇 宏, 徐兆棣, 王婷婷

(沈陽師范大學(xué) 數(shù)學(xué)與系統(tǒng)科學(xué)學(xué)院, 沈陽 110034)

研究了帶有雙時變時滯的線性系統(tǒng)的穩(wěn)定性問題。在過去線性系統(tǒng)的研究成果中,學(xué)者提出了大量的時滯系統(tǒng)的穩(wěn)定性條件,這些穩(wěn)定性條件都是旨在減小穩(wěn)定系統(tǒng)的保守性。從減小穩(wěn)定系統(tǒng)的保守性出發(fā),改變穩(wěn)定性條件,首次提出了一種不同尋常的不等式方法,即結(jié)合相互凸組合不等式和Park不等式方法,設(shè)計了新的系統(tǒng)穩(wěn)定性條件,來減小線性放縮時系統(tǒng)產(chǎn)生的保守性。然后,在提出的新不等式方法和線性矩陣不等式的解決方法基礎(chǔ)上,給出了保持系統(tǒng)穩(wěn)定的判據(jù)。最后,通過數(shù)值仿真例子闡述了在相同系統(tǒng)的條件下,利用定理的方法得到的時滯相比于現(xiàn)存方法更大,驗證了改進方法的有效性和可行性。

雙時滯; 線性矩陣不等式; 穩(wěn)定性分析

TP391 Document code: A

10.3969/ j.issn.1673-5862.2015.01.009

Received date: 2014-05-28.

Supported: Project supported by National Natural Science Foundation of China(11201313).

Biography: SU Hong(1988-), female, was born in Anshan city of Liaoning province, master degree candidate of Shenyang Normal University; XU Zhaodi(1955-),male, was born in Anshan city of Liaoning province, professor and postgraduates instructor of Shenyang Normal University, doctor.