Mathematical Problems in Engineering

Volume 2019, Article ID 5368013, 14 pages

https://doi.org/10.1155/2019/5368013

## Robust Admissibilization for Discrete-Time Singular Systems with Time-Varying Delay

Correspondence should be addressed to Jian Chen; moc.361@cenaj

Received 21 May 2019; Revised 22 August 2019; Accepted 30 August 2019; Published 7 November 2019

Academic Editor: Jorge Rivera

Copyright © 2019 Dongdong Wang 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.

#### Abstract

The problems of the admissibility and state feedback stabilization for discrete-time singular systems with interval time-varying delay and norm-bounded uncertainty are studied. The system is equivalently transformed into a new comparison form by decomposition. By taking advantage of the Seuret summation inequality, the reciprocally convex inequality, and some relaxation techniques, a delay-dependent criterion that ensures the admissibility of the concerned systems is established. The result on robust stabilization is also obtained by fixing some parameters. It should be pointed out that the results are less dependent on the parameters so that some conservatism is reduced. A numerical example is included to illustrate the effectiveness and improvement of the proposed methods.

#### 1. Introduction

Discrete-time systems, which are the analogues of the continuous-time systems, have more advantages in flexibility, anti-interference, precision, and economy. The discrete-time systems inherit the dynamic behavior of the corresponding continuous-time systems, while there is a lot of difference of the stability analysis and control synthesis between them. Intensive results have been given to study the problems for various discrete-time systems.

Most physical systems and processes in the real world can be represented as singular systems which contain not only differential equations but also nondynamic constraints and even improper parts of the systems. Considerable attention has been paid to singular systems [1–3]. It should be pointed out that the study of singular systems is much more complicated than that of state-space systems [4, 5]. In addition to stability, two more things called regularity and impulse-free (causality for the discrete-time cases) are introduced which are irrespective in state-space models [6, 7]. Time delay is common in the practical engineering and communication application [8–11]. It can be a source of instability of performance degradation which is needed to be eliminated [12]. Consequently, a lot of studies of time-delay systems have been carried out [13–20]. For discrete-time singular systems with time delay, several important results have been obtained. For example admissibility, new criteria are obtained by choosing the Lyapunov–Krasovskii functionals (LKFs) properly and using new inequality technology. In [21], delay-dependent stability criteria are proposed depending on the minimum and maximum delay bounds. By adopting an improved reciprocally convex combination approach, a less conservative criterion is built to ensure the system to be admissible [22]. Banu and Balasubramaniam [23] and Wu et al. [24] give sufficient condition via delay division approaches. The stability analysis for a class of discrete-time T-S fuzzy singular systems with time delays [25, 26] is studied. Furthermore, the filtering designs are studied in [27, 28]. Zheng and Bejarano [29] and Lin et al. [30] have considered the observer design problems. The admissibilization problem is studied in [31–39] by the LKF methods. The related stabilization conditions are usually nonlinear matrix inequalities. The static output feedback control problem is studied in [31, 32, 40, 41] by adopting new summation inequalities and establishing iterative algorithms. Zhu et al. [39] and Feng and Lam [34] solve the dissipative control problems under actuator saturation. Ma et al. [36] and Feng et al. [42] give the state feedback controller design. The delay-dependent stabilization for discrete-time interval TCS fuzzy systems is considered in [43]. Wu et al. [38] study the problem of robust state feedback control for discrete-time singular systems with time delays. By fixing some variables, the above criteria are linear matrix inequalities (LMIs) which are solvable by LMI toolbox [44], but they also bring conservatism. Cui et al. [33] give an iterative linear matrix inequality approach with initial condition optimisation which can reduce the conservatism. However, it has the shortcomings of the dependence on initial values and big calculation.

In this paper, the problem of a robust controller design for discrete-time singular systems with time delay is investigated. By utilizing the Seuret summation inequality, the reciprocally convex technique, and some transformations, new sufficient condition which contains auxiliary matrices for the admissibility is derived in terms of LMIs. Moreover, the problem of robust admissibilization of uncertain systems is also studied and a new condition is proposed. If the parameter *ε* is prescribed, the admissibilization condition is LMIs. For more auxiliary matrices added, the dependence on *ε* is reduced in the condition.

Notation: throughout the paper, standard notations are used. The superscript *T* stands for the matrix transpose, and stands for the matrix inverse. “” denotes the elements that are induced by symmetry. *I* and 0 represent the identity matrix and zero matrix. denotes the block diagonal matrix.

#### 2. Problem Formulation and Preliminaries

Consider the discrete-time singular system with time delay which can be represented bywhere is the state vector of the system, is the control input, is a given initial condition, and denotes the time delay satisfying , where and are positive integers representing the lower and upper bounds of the delay, respectively.

is a known matrix, and we assume that . *A*, , and *B* are known real constant matrices. and are real-valued unknown matrices representing time-varying parameter uncertainties, respectively, and are assumed aswhere *M*, , *N*, and are known real constant matrices and are known time-varying matrix function satisfying

For the discrete time-delay system:we need to introduce some definitions.

*Definition 1 (see [12]). *(i) The pair is said to be regular if is not identically zero. (ii) The pair is said to be causal if .

*Definition 2 (see [12]). *(i) For given integers and , the discrete time-delay system (4) is said to be regular and causal, if the pair is regular and causal. (ii) System (4) is said to be stable if for any scalar , there exists a scalar such that, for any compatible initial conditions satisfying , the solution to system (4) satisfies for any ; moreover, . (iii) System (4) is said to be admissible if it is regular, causal, and stable.

Moreover, for the pair , there exist invertible matrices *G* and *H*, such thatwhere .In this paper, the state feedback controller with the following form is used:where *K* is the controller gains to be determined. The closed-loop system is given byNow, we will use some lemmas in the proof which should be introduced first.

Lemma 1. *Let M, N, and be real matrices of appropriate dimensions with satisfying . Then, for any matrix U, we have*

Lemma 2 (see [12]). *Let , where , , , and are any real matrices with appropriate dimensions such that is invertible and . Then, we have*

Lemma 3 (see [44]). *Consider the following inequality in the variable X:which has a solution X if and only ifwhere and denote bases of the null spaces of B and C, respectively.*

Lemma 4 (see [45]). *For any matrix , integer , and vector function , there holds*

Lemma 5 (see [46]). *For matrices Z, W, vectors , , and real scalars , satisfying and , the following inequality holds*

#### 3. Main Results

In this section, a new condition of admissibility for discrete-time singular systems with time-varying delay is derived and it is extended to design the state feedback controllers. For simplicity, in rest of the section, we will consider the transformation of system (1) as

Now, let , where , , , , , , , and .

We first consider the stability of system (15). If is invertible, by (15) and (5), the singular delay system can be decomposed as

It is easy to see that the stability of the singular delay system (15) is equivalent to that of system (16).

The closed-loop system iswhere .

For system (15) with , we have the following theorem.

Theorem 1. *The discrete-time delay singular system (15) with is admissible, if there exist matrices , , , , , , , , S, T, , , , , , and , such thatwhere*

*Proof. *By Lemma 1 and equations (2) and (3), we obtain thatwhere and . By (22) and Schur’s complement, (19) giveswhereMultiplying (23) left and right by and its transpose, we obtain that , which implies that . Therefore, system (15) with is regular and causal.

Next, we will consider the stability of the system. We choose the Lyapunov–Krasovskii functional as follows:where , , , , and , .

Calculating the forward difference of , we obtainBy Lemmas 4 and 5, the cross terms in (29) are bounded as whereNoted thatCombining (26)–(33), we havewhereIt is known that if the following inequality holds:Hence, there exists a scalar such that . Then, we have , which implies . Thus, the series converge, which implies that . According to Definition 2, system (15) with is stable.

Next, we will decompose (23) by (5). Multiplying (23) left and right byand its transpose, we obtain thatwhereFor the special structure of the matrix , it is easy to find out matrices , , and *Z*, such thatwhereSince the matrix is invertible, applying Lemma 2 to (41) and combining (42), we obtain thatwhereNext, we will give that inequality (36) can be satisfied if (44) holds.

Noted that equation (44) can be rewritten aswhereBy Lemma 3, (46) is equivalent towherewhich can be rewritten asBy Schur’s complement, (51) is equivalent to , which ensures the stability of the system. This completes the proof.

*Remark 1. *Theorem 1 gives a new criterion for discrete-time singular systems with time-varying delay. By Lemmas 2 and 3, the admissible condition (36) can be solved by (19). Compared with condition (36) and some of the existing conditions, some auxiliary matrices , , , and are added in (19) in addition to the Lyapunov matrix *P*. The auxiliary matrices bring extra relaxation for the criterion.

Next, we will further deal with the state feedback control problem for discrete-time systems (15) and the following theorem is obtained.

Theorem 2. *The closed-loop system (18) is admissible, if there exist matrices , , , , , , , , S, T, W, L, , , , and ε, such thatwhereare defined in Theorem 1. If it is the case, the controller gains can be solved as*

*Proof. *Replacing , , , and into , , , and , respectively, and letting , , , and . Using the similar procedure as the proof in Theorem 1, this theorem can be easily proved.

*Remark 2. *Usually, an additional equation is added in the derivations of criteria for the state feedback controller design for discrete-time singular systems with time delay [34, 36, 38, 42]. It is obvious that it leads to a nonlinear problem for controller synthesis. The usual way in the existing controller design is to set , where *ε* is fixed, such that the conditions can be transformed into LMIs. However, the dealing methods bring much conservatism and the results depend extremely on the parameter *ε*. In our method, by introducing auxiliary matrices , , , and in Theorems 1 and 2 and letting , the dependence on *ε* is weakened and obviously the conservatism is reduced. In general, the value of ε can be taken in the interval of .

*Remark 3. *The auxiliary matrices which are added in the criteria can really increase the computational complexity.

#### 4. Numerical Example

Consider the discrete time-delay singular system (1) with

It is proved in [33] that the system is unstable at least for a particular choice of . If , the method in [33, 38] is infeasible. By Theorem 2, set , the controller gain to make the closed-loop system robustly admissible is designed as . Figure 1 depicts the closed-loop system responses with the control law . It is observed that the closed-loop system is robust stable with the uncertainties.