Volume 2008, Article ID 591261,7pages doi:10.1155/2008/591261
Research Article
A Sufficient Condition for Asymptotic Stability of Discrete-Time Interval System with Delay
Wei Zhu
Institute of Applied Mathematics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Correspondence should be addressed to Wei Zhu,zhu [email protected]
Received 4 September 2007; Revised 24 November 2007; Accepted 7 January 2008 Recommended by Manuel De La Sen
The asymptotic stability of discrete-time interval system with delay is discussed. A new sufficient condition for preserving the asymptotic stability of the system is presented by means of the inequal- ity techniques. By mathematical analysis, the stability criterion is less conservative than that in pre- vious result. Finally, one example is given to demonstrate the applicability of the present scheme.
Copyrightq2008 Wei Zhu. 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.
1. Introduction
The stability analysis of interval system is very useful for the robustness analysis of nominally stable system subject to model perturbations. Therefore, there has been considerable interest in the stability analysis of interval system in literature1–15, and references therein. In general, those approaches can be classified into two categories: the first is the polynomial and the sec- ond is the matrix approach. However, due to information transmission between elements or systems, data computation, natural property of system elements, and so forth, time delays also inherently exist in controlled systems and therefore must be integrated into system models.
The stability analysis for interval systems with delays becomes more complicated. In6, a suf- ficient condition for the stability of discrete-time systems is given in terms of pulse-response sequence matrix. In11, based on the Gersgorin theorem, the stability testing problem for continuous and discrete systems including a time delay is discussed.
The objective of this paper is to deal with the asymptotic stability of a discrete-time interval system with delay. Based on the inequality techniques16, a new sufficient condition for preserving the asymptotic stability of the system is presented. By mathematical analysis, the stability criterion is less conservative than that in previous result. An example is given to compare the proposed method with one reported.
2. System description and notations
Consider the discrete-time interval system with delay described by xk1 AIxk BIxk−p, k0,1,2, . . . ,
xk ϕk, k−p, . . . ,0, 2.1
where delay p is a positive integer, xk col{x1k, x2k, . . . xnk} ∈ Rn,AI,BI are the interval matrices described asAI A, A {A aij:aij ∈aij, aij},BI B, B {B bij:bij ∈bij, bij},i, j1,2, . . . , n,ϕk, k−p, . . . ,0,are bounded.
In the sequel, the following notations will be used:RnRn: the space ofn-dimensional nonnegativereal column vectors;Rn×mRn×m : the set ofn×mnonnegativereal matrices;
ρA: the spectral radius of matrix A ∈ Rn×n;A ≥ BA > B: each pair of corresponding elements ofAandBsatisfies the inequality “≥>,” whereA, B∈Rn×morA, B ∈Rn;WρA:
forA ∈ Rn×n ,WρA {z ∈ Rn | Az ρAz};·: the vector or matrix obtained by replacing each entry of· by its absolute value;Za,b:Za,b ≡ {a, a1, . . . , b}, wherea, b are nonnegative integers; ifa > b, we defineZa,b ∅, where∅is the empty set; ifb ∞, we writeZa,b asZa;ArBr: the set of matrices obtained by exchanging correspondingr columnsofABandAB, so there are 2×nrmatrices in eachArBr, wherer ∈Z0,n, nr n!/r!n−r! andn! denotes the factorial ofn.
3. Main result
In order to prove our main result, we first need the following technical lemmas.
Lemma 3.1see17, Theorem 8.3.1. IfA∈Rn×n , then there is a nonnegative vectorz≥0, z /0, such thatAzρAz.
So it is clear thatWρAis not empty byLemma 3.1.
Lemma 3.2. LetP, Q∈Rn×n ,uk∈Rnsatisfy that
uk1≤P uk Quk−p, k∈Z0. 3.1
If
ρPQ<1, 3.2
then there exists a constantλ >0 such that
uk≤ze−λk, k∈Z0, 3.3
for somez z1, z2, . . . , znT ∈WρPQeλp.
Proof. SinceρP Q < 1, using continuity, there must be a sufficiently small constantλ > 0 such that
eλp1ρ
PQeλp
≤1. 3.4
Let
yk ukeλk, k∈Z0,
yk uk, k∈Z−p,0, 3.5
so we have
uk yke−λk ≤yke−λk−p, k∈Z0. 3.6
By3.1, we have
yk1 uk1eλk1≤
P uk Quk−p
eλk1, k∈Z0. 3.7
SinceP, Q∈Rn×n , we derive that yk1≤
P yk Qyk−peλp
eλp1, k∈Z0. 3.8
We next show that for anyk∈Z0,
yk≤z. 3.9
If this is not true, then there must be a positive constantl >0 and some integermsuch that yml1> zm, yk≤z fork∈Z−p,l. 3.10 By using3.4and3.8, we obtain that
yl1≤eλp1
PQeλp
zeλp1ρ
PQeλp
z≤z 3.11
which contradicts the first inequality of3.10. Thus3.9holds for allk ∈Z0. Therefore, we have
uk≤ze−λk, k∈Z0, 3.12
and the proof is completed.
Theorem 3.3. For anyC∈ An
r0Ar,D∈ Bn
r0Br, if the inequality ρ
C D
<1 3.13
holds, then the discrete-time interval system2.1is asymptotically stable.
Proof. LetΓk{i |xik<0} ≡ {i1, i2, . . . , im},Λk{j |xjk−p<0} ≡ {j1, j2, . . . , jl}, where m, lsatisfying 0≤m≤n, 0≤l≤n, mlnare integers andm0 orl0 is equivalent to thatΓkorΛkis empty, respectively. Obviously,∞
k1Γkand∞
k1Λkare finite sets.
By the definitions ofAandB, we can obtain matricesA1k, A2k ∈ Aby exchanging the correspondingi1th, i2th, . . . , imth columns ofAandAifm 0, thenA1k A, A2k A, and
matricesB1k, B2k ∈ Bby exchanging the correspondingj1th, j2th, . . . , jlth columns ofBandB ifl0, thenB1kB, B2kBsuch that the following inequalities hold:
A1kxk≤Axk≤A2kxk, A∈AI,
B1kxk−p≤Bxk−p≤B2kxk−p, B∈BI. 3.14
So together with2.1, we have
A1kxk B1kxk−p≤xk1≤A2kxk B2kxk−p. 3.15 From the above, we see thatA1k, A2kandB1k, B2kdepend only on the position of the negative components ofxkandxk−p, respectively.
Then, from3.15, we derive xk1≤max
A1kxk B1kxk−p
,
A2kxk B2kxk−p
≤max A1k
xk
B1k
xk−p ,
A2k
xk
B2k
xk−p . 3.16 So we have
xk1≤ A1k
xk B1k
xk−p 3.17
or
xk1≤ A2k
xk B2k
xk−p
. 3.18
SinceA1k, A2k ∈ A,B1k, B2k ∈ B, by the definitions ofAandBagain,3.17and3.18, for anyk ∈Z0, we can find corresponding matricesAi ∈ A, Bj ∈ B,i, j ∈ {1,2, . . . , n}, such that
xk1≤ Ai
xk Bj
xk−p
. 3.19
In view of condition3.13, we obtain that ρ
Ai Bj
<1, i, j∈ {1,2, . . . , n}. 3.20 Thus, byLemma 3.2and3.19,3.20, for anyk∈Z0, there exist constantsλij >0 and some zij∈WρAi Bjeλijp,i, j∈ {1,2, . . . , n}, such that
xk≤zije−λijk. 3.21
Setλ min1≤i,j≤n{λij},zij {z1ij , z2ij , . . . , znij }T,zh max1≤i,j≤n{zhij },h 1,2, . . . , n,z {z1, z2, . . . , zn}T, obviously, λandzare independent of any choice ofk, so by3.21, we derive that
xk≤ze−λk, k∈Z0, 3.22
which implies that the conclusion of the theorem holds.
Remark 3.4. By the meanings ofAr andBr, we know thatAr An−r,Br Bn−r,r ∈ Z0,n. So there are nr02×nr/22n matrices in the setsA andB, respectively. Furthermore, if numbernis even, that is,n2k, k1,2, . . ., then the equalityAr An−rBr Bn−rforrk is transformed to beAkAkBkBkand thenAkBkcontains only2kkdifferent matrices.
Therefore, condition3.13can be verified easily and quickly by computer softwaresuch as MATLAB.
Corollary 3.5see11, Theorem IV. The discrete-time interval system2.1is asymptotically stable if the following condition is satisfied:
ρKF<1, 3.23
where matrices K and F are defined as K kij, kij max{|aij|,|aij|}, F fij, fij max{|bij|,|bij|},i, j1,2, . . . , n.
Proof. Clearly, for anyC∈ An
i1Ai,D∈ Bn
i1Bi, the inequality
C D≤KF 3.24 holds, then from18 i.e., forA, B ∈ Rn×n , ifA ≤ B, thenρA ≤ρBand associated with 3.23, we have
ρ
C D
≤ρKF<1. 3.25
Therefore, system2.1is asymptotically stable in terms ofTheorem 3.3.
4. Illustrative examples
Example 4.1. Consider the discrete-time interval system2.1with delay and
A
⎛
⎜⎜
⎝
−1 2 −1
4
0 1
4
⎞
⎟⎟
⎠, A
⎛
⎜⎜
⎝
−1 3 0 1 4
1 2
⎞
⎟⎟
⎠, B
⎛
⎜⎜
⎝
−1 4 −1
6
−1 4 −1
8
⎞
⎟⎟
⎠, B
⎛
⎜⎜
⎝
−1 5 0
0 1
10
⎞
⎟⎟
⎠. 4.1 For this case,A1
A1−1/3−1/4
1/4 1/4
, A2−1/2 0
0 1/2
,
A2
⎧⎪
⎪⎨
⎪⎪
⎩A3
⎛
⎜⎜
⎝
−1 3 0 1 4
1 2
⎞
⎟⎟
⎠, A4
⎛
⎜⎜
⎝
−1 2 −1
4
0 1
4
⎞
⎟⎟
⎠
⎫⎪
⎪⎬
⎪⎪
⎭, B1
⎧⎪
⎪⎨
⎪⎪
⎩B1
⎛
⎜⎜
⎝
−1 5 −1
6 0 −1 8
⎞
⎟⎟
⎠, B2
⎛
⎜⎜
⎝
−1 4 0
−1 4
1 10
⎞
⎟⎟
⎠
⎫⎪
⎪⎬
⎪⎪
⎭, B2
⎧⎪
⎪⎨
⎪⎪
⎩B3
⎛
⎜⎝−1 5 0
0 1
10
⎞
⎟⎠, B4
⎛
⎜⎜
⎝
−1 4 −1
6
−1 4 −1
8
⎞
⎟⎟
⎠
⎫⎪
⎪⎬
⎪⎪
⎭.
4.2
0 5 10 15 20 k
−6
−4
−2 0 2 4 6
x1,x2
x1
x2
Figure 1: Stability for discrete-time interval system.
By simple calculation, we haveρAi Bj≤ρA1 B4 for i, j1,2,3,4,and
A1
B4
⎛
⎜⎜
⎝ 1 3
1 4 1 4
1 4
⎞
⎟⎟
⎠
⎛
⎜⎜
⎝ 1 4
1 6 1 4
1 8
⎞
⎟⎟
⎠
⎛
⎜⎜
⎝ 7 12
5 12 1 2
3 8
⎞
⎟⎟
⎠. 4.3
So we have ρ
Ai Bj
≤ρ
A1 B4
0.9473<1, i, j1,2,3,4. 4.4 Therefore, the system2.1is asymptotically stable by means ofTheorem 3.3.
In what follows, the simulation result is illustrated inFigure 1.
Remark 4.2. If11, Theorem IVis applied toExample 4.1, we obtain
K
⎛
⎜⎜
⎝ 1 2
1 4 1 4
1 2
⎞
⎟⎟
⎠, F
⎛
⎜⎜
⎝ 1 4
1 6 1 4
1 8
⎞
⎟⎟
⎠, 4.5
whereK,Fare defined byCorollary 3.5, that is,11, Theorem IV. Then
ρKF 1.1482>1, 4.6
that is,11, Theorem IVcannot be applied. So the sufficient condition3.13proposed in this paper is less conservative than condition3.23proposed by11.
5. Conclusion
In this paper, we have investigated the asymptotic stability of discrete-time interval system with delay. A new sufficient condition for preserving the asymptotic stability of the system is
developed. By mathematical analysis, the presented criterion is to be less conservative than that proposed by11. So, the result of this paper indeed allows us to have more freedom for check- ing the stability of the discrete-time interval systems with delay. From the proposed example, it is easily seen that the criterion presented in this paper for the stability of the discrete-time interval system with delay is very helpful. We believe that the present scheme is applicable to robust control design.
Acknowledgments
The author wishes to thank the editor and the referees for their helpful and interesting com- ments. The work is supported by National Natural Science Foundation of China under Grant 10671133 and the Doctor’s Foundation of Chongqing University of Posts and Telecommunica- tions A2007-41.
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