- Open Access
Robust stability analysis for Lur’e systems with interval time-varying delays via Wirtinger-based inequality
© Park et al.; licensee Springer. 2014
- Received: 27 March 2014
- Accepted: 28 April 2014
- Published: 13 May 2014
This paper considers the problem of robust stability for Lur’e systems with interval time-varying delays and parameter uncertainties. It is assumed that the parameter uncertainties are norm bounded. By constructing a newly augmented Lyapunov-Krasovskii functional, less conservative sufficient stability conditions of the concerned systems are introduced within the framework of linear matrix inequalities (LMIs). Three numerical examples are given to show the improvements over the existing ones and the effectiveness of the proposed methods.
- Network Control System
- Nominal Form
- Sufficient Stability Condition
- Maximum Allowable Delay
- Positive Definite Diagonal Matrice
The Lur’e system is one of a significant class of nonlinear systems and has a nonlinear element satisfying certain sector bounded constraints. Since the Lur’e system and absolute stability were firstly introduced by [1, 2], the study of the absolute stability for Lur’e system has attracted many researchers. Most nonlinear systems consist of feedback connections of linear dynamic systems and nonlinear elements. Thus, as regards practical systems, there are various kinds of nonlinearities it takes to operate various tasks of systems. For this reason, during a few decades, Lur’e system has received a great deal of attention due to its extensive applications [3, 4]. Moreover, we need to pay close attention to a delay in the time, which is a natural concomitant of the finite speed of information processing and/or amplifier switching in the implementation of the systems in various systems such as physical and biological systems, population dynamics, neural networks, networked control systems, and so on. It is well known that the time delay often causes undesirable dynamic behavior, such as performance degradation and instability of the systems. Therefore, the study on stability analysis for systems with time delay has been widely investigated. For more details, see the literature [5–14] and references therein. The recent remarkable result in the delay-dependent stability analysis of dynamic systems is the Wirtinger-based integral inequality . This method provides a tighter lower bound of the integral terms of the quadratic form. It was shown that this method can be applied and effectively reduce the conservatism of various problems such as stability analysis of systems with constant and known delay or a time-varying delay, stabilization of sampled-data systems, and so on.
Returning to the Lur’e system, this system is also booked for the stability problem with time delay [16–29]. Above all, in , the time-delayed Lur’e systems are dealt with sector and slope restricted nonlinearities and uncertainties. Li et al.  investigated the problem of delay-dependent absolute and robust stability for time-delay Lur’e system and the relaxed conditions were presented some previously ignored terms when estimating the triple integral Lyapunov-Krasovskii functional terms’ derivative. In , the problems of master-slave synchronization of Lur’e systems under time-varying delay-feedback controllers were investigated in the framework of LMIs. Ramakrishnan and Ray  proposed an improved delay-dependent sufficient stability condition for a class of Lur’e systems of neutral type by imposing tighter bounding on the time derivative of the Lyapunov-Krasovskii functional without neglecting any useful terms with a delay-partitioning approach. However, there is room for further improvements in stability analysis of Lur’e system with time delay.
With the motivation mentioned above, in this paper, the problem to get improved delay-dependent sufficient stability conditions for a class of Lur’e systems with interval time-varying delays and parameter uncertainties are considered. Here, stability or stabilization of a system with interval time-varying delays has been a focused topic of theoretical and practical importance  in very recent years. The system with interval time-varying delays means that the lower bounds of the time delay which guarantees the stability of system is not restricted to zero, and they include the networked control system as one of the typical examples. Moreover, the analyses of systems with time delay can be classified as delay-dependent and delay-independent analysis . To achieve this, by construction of a newly augmented Lyapunov-Krasovskii functional and utilization of a Wirtinger-based inequality  and a reciprocally convex approach , new delay-dependent robust sufficient stability conditions are derived in terms of LMIs, which can be formulated as convex optimization algorithms which are amenable to computer solution . Finally, three numerical examples are included to show the effectiveness of the proposed methods.
Notation is the n-dimensional Euclidean space, and denotes the set of all real matrices. (respectively, ) means that the matrix X is a real symmetric positive definite (respectively, semidefinite) matrix. and 0 denote identity matrix and zero matrix of appropriate dimension, respectively. refers to the Euclidean vector norm or the induced matrix norm. denotes the block diagonal matrix. For square matrix X, means the sum of X and its symmetric matrix , i.e., . For any vectors (), means the column vector . means that the elements of matrix include the scalar value of , i.e., .
where , , , and are real known constant matrices; and is a real uncertain matrix function with Lebesgue measurable elements satisfying .
where , , , and are known constant values.
The aim of this paper is to investigate the delay-dependent stability analysis of system (1) with interval time-varying delays and parameter uncertainties.
Also, before deriving our main results, the following lemmas will be used in main results.
Lemma 1 ()
where and .
Lemma 2 ()
, , ,
, where is a right orthogonal complement of B,
where () are defined as block entry matrices, e.g., .
Then the following theorem is given as the main result.
where are the four vertices of with the bounds of and , that is, and when , and when , and when , and and when .
for any matrix M, where .
subject to .
From (18) to (20), if (20) holds, then there exist positive scalars () such that (). Therefore, it can be seen that for all time t, if (20) holds, then . From the Lyapunov stability theory, it can be concluded that if (20) holds, then the system (5) is asymptotically stable.
Lastly, by utilizing (ii) and (iii) of Lemma 2, one can confirm that the inequality (19) is equivalent to the inequality (7). This completes our proof. □
are obtained and utilized in estimating the time derivative of the proposed Lyapunov-Krasovkii functional (9).
the following theorem can be obtained.
where are the two vertices of with the bounds of , that is, when and when , and .
with replacing the block entry matrices to (), which is very similar to the proof of Theorem 1, so it is omitted. □
Maximum allowable delay bounds with fixed (Example 1)
Choi et al. 
Chen et al. 
Li et al. 
Choi et al. 
Chen et al. 
Li et al. 
Here, belongs to the sector bound .
Maximum allowable delay bounds with fixed , unknown and (Example 2)
Maximum allowable delay bounds with unknown and (Example 3)
In this paper, the delay-dependent stability problem for the Lur’e systems with interval time-varying delays and parameter uncertainties was dealt. In Theorem 1, the improved robust sufficient stability condition for the concerned systems was proposed by introducing the augmented Lyapunov-Krasovskii functional and using some approaches. In Theorem 2, based on the result of Theorem 1, the sufficient stability condition for the nominal form of Lur’e systems with interval time-varying delays having a constraint on the unknown was presented. Three illustrative examples have been given to show the effectiveness and usefulness of the presented sufficient conditions.
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2008-0062611), and by a Grant of the Korea Healthcare Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (A100054).
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