Sufficient Conditions for Robust Stability of Discrete Large-Scale Interval Systems with Multiple Time Delays

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1. Introduction

It is known that the system is called an interval system and can be considered as a system with parametric perturbations when matrices of a state equation are interval matrix. In practice, time delay(s) exist(s) in real-life systems and should be integrated into system model. During the past decades, the research of systems with time delay(s) has also become an attractive topic. However, surveying the existing ones, only few works have been devoted to stability analysis and/or stabilization controller design of interval time-delay systems [1] [2] [3] [4] [5]. Besides, compare to single systems, dimensionality of system equations of large- scale systems is higher and hence the control problems of large-scale systems are more complicated. In literature, many contributions have been devoted to the research for these kinds of systems during the past decades [6] [7] [8] [9] [10]. For large-scale interval time-delay system, it is seen that a sufficient criterion has been developed in [5] for the robust stabilization for discrete nonlinear large- scale interval systems with non-integral delays. Of those present works, control problems for systems with both time delays and uncertainties only have been discussed in few works [4] [7] [8]. In this paper, the robust stability testing problem for discrete large-scale interval time-delay systems is discussed. By using the Lyapunov equation approach associated with a very simple upper bound of the solution of the discrete Lyapunov equation, several delay-independent stability criteria are derived for the aforementioned systems. An interesting consequence is that these obtained criteria do not involve any Lyapunov equation. Comparison between the present results and a previous result is also made. It will be shown that the obtained results are better. It is believed that the present schemes are helpful for the controller design of large-scale interval time-delay systems.

2. Main Results

Consider the discrete composite interval time-delay system S which is described as an interconnection of N subsystems which are represented by

, (1)

where represents the state vector, integer d_{ij} > 0 denotes the delay, A_{ijI} = A_{iI} for i = j, and A_{iI} and A_{ijI} are interval matrices with appropriate dimensions and have the properties:

, (2)

. (3)

Define matrices U_{i}, V_{i}, E_{ij}, and F_{ij}, respectively, as

and, (4)

In fact, system (1) can also be represented as follows.

, (5)

, (6)

, (7)

where A_{i} and A_{ij}, respectively, is defined by

and. (8)

Here, ΔA_{i} and ΔA_{ij} denote the parametric uncertainties with the following properties:

and (9)

where R_{i} and S_{ij} are defined as

and. (10)

Then, we derive the following criteria.

Theorem 1. For, if

(11)

then the composite uncertain time-delay system (1) or (5) is robustly stable

Proof. The condition (11) infers

(12)

which can further implies

. (13)

Therefore, we obtain and this means the matrix is stable. Then, the following Lyapunov equation has a positive definite solution P_{i} for any given positive definite matrix Q_{i}.

, (14)

Here, we choose Q_{i} as

(15)

where is an arbitrary positive constant.

Then, from the Lyapunov Equation (14), we have

(16)

Due to the fact that, one obtains

and. (17)

Then, utilizing these inequalities, we obtain

(18)

Substituting this inequality into (16), it is seen that if the condition (12) is satisfied then the right-hand side of (16) is a negative definite matrix. This means that the solution P_{i} of the Lyapunov Equation (16) has the upper bound.

Here, we construct a Lyapunov function as follows.

(19)

Taking the forward difference for the Lyapunov function (19) results in

(20)

(21)

where (15) and the following relation are used.

(22)

Therefore, obviously the condition (11) can infer ΔV < 0 and hence the composite uncertain time-delay system (5) is robustly stable. Thus, this completes the proof.

Following the same approach that proposed in the proof of Theorem 1, we have the following results.

Theorem 2. The composite uncertain system (6) or (1) is robustly stable if the following condition is satisfied for.

. (23)

Proof. Using the Lyapunov Equation (7) with

(24)

Then, let

(25)

It is easy to obtain the stability condition (23). Details of the proof are omitted.

Theorem 3. If the following condition holds for,

(26)

then the composite uncertain system (7) or (1) is robustly stable.

Proof. From (14), if we choose

and

(27)

then the condition (26) can assure the stability of the large-scale system (7) or (1). We also omit the remaining proof.

Remark 1. In [5], a robust stability condition for system model (5) has been driven. We re-write it as follows.

(28)

where N_{i} denotes the number of corresponding to the ith subsystem with, , with , W_{i} is defined by

.

It is obvious that the condition (28) involves an inverse matrix and how to determine the positive constant β_{i} such that (28) is satisfied is an open problem. Furthermore, it is assumed that all eigenvalues of A_{i} are distinct. The conditions (11), (23), and (26) do not involve any inverse matrix and free variable. It is also not necessary to assume all eigenvalues of A_{i} are distinct. Therefore, they are less restrictive than (28). Besides, we have found that the tightness of the obtained results cannot be compared.

3. Conclusions

A new approach of the analysis of the robust stability for discrete large-scale interval systems with timedelays has been proposed in this paper. By utilizing the Lyapunov equation approach associated with a simple upper solution bound, several concise criteria have been derived to guarantee the robust stability of the aforementioned systems. The feature of these obtained results is that they do not involve any Lyapunov equation although the Lyapunov approach is utilized. Furthermore, comparing to a previous one, all eigenvalues of the system matrix A are not needed to be distinct in this work and the obtained results do not involve any inverse matrix and free variable. Therefore, they are less restrictive and easy to be checked. It is believed that this work is useful for the stabilization problem of discrete large-scale interval systems with timedelays.

Acknowledgements

The author would like to thank the Ministry of Science and Technology, Taiwan, for financial support of this research under the grant MOST 105-2221-E-230- 003.

References

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