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R E S E A R C H

Open Access

On stability of discrete-time systems under

nonlinear time-varying perturbations

Pham Huu Anh Ngoc

1*

and Le Trung Hieu

2

*Correspondence:

[email protected]

1Department of Mathematics,

International University, VNU-HCMC, Thu Duc, Sai Gon, Vietnam Full list of author information is available at the end of the article

Abstract

We give some explicit stability bounds for discrete-time systems subjected to time-varying and nonlinear perturbations. The obtained results are extensions of some well-known results in (Hinrichsen and Son in Int. J. Robust Nonlinear

Control 8:1169-1188, 1998; Shafaiet al.in IEEE Trans. Autom. Control 42:265-270, 1997) to nonlinear time-varying perturbations. Two examples are given to illustrate the obtained results. Finally, we present an Aizerman-type conjecture for discrete-time systems and show that this conjecture is valid for positive systems.

MSC: 39A30; 93D09

Keywords: discrete system; exponential stability; nonlinear time-varying perturbation

1 Introduction and preliminaries

Discrete-time equations have numerous applications in science and engineering. They are used as models for a variety of phenomena in the life sciences, population biology, computing sciences, economics,etc.; see,e.g., [, , ].

Motivated by many applications in control engineering, problems of stability and robust stability of dynamical systems have attracted much attention from researchers for a long time, see,e.g., [, , , –, –] and references therein. In this paper, we investigate exponential stability of discrete-time systems subjected to nonlinear time-varying pertur-bations. Some explicit stability bounds for discrete-time systems subjected to nonlinear time-varying perturbations are given. Furthermore, we present an Aizerman-type conjec-ture for discrete-time systems and show that it is valid for positive systems. Two examples are given to illustrate the obtained results.

LetRbe the set of all real numbers and letNbe the set of all natural numbers. SetZ+:=

N∪ {}. For givenN∈N, let us denoteN:={, , . . . ,N}. Letn,l,qbe positive integers. Inequalities between real matrices or vectors will be understood componentwise,i.e., for two reall×q-matricesA= (aij) andB= (bij), the inequality ABmeansaijbijfor

i= , . . . ,l;j= , . . . ,q. In particular, ifaij>bijfori= , . . . ,l;j= , . . . ,q, then we writeA

Binstead ofAB. The set of all nonnegativel×q-matrices is denoted byRlq. Ifx=

(x,x, . . . ,xn)∈RnandP= (pij)∈Rl×qwe define|x|= (|xi|) and|P|= (|pij|). It is easy to see that|CD| ≤ |C||D|. For any matrixA∈Rn×nthespectral radiusofAis denoted byρ(A) = max{|λ|:λσ(A)}, whereσ(A) :={z∈C:det(zInA) = }is the set of all eigenvalues ofA. A norm · onRn is said to bemonotonicif |x| ≤ |y| impliesxy for all

x,y∈Rn. Everyp-norm onRn(xp= (|x

|p+|x|p+· · ·+|xn|p)

p, p<andx

∞=

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maxi=,,...,n|xi|), is monotonic. Throughout this paper, the normMof a matrixM∈Rl×q is always understood as the operator norm defined byM=maxy=MywhereRqand

Rlare provided with some monotonic vector norms. Then, the operator norm · has the following monotonicity property (see,e.g., [])

P∈Rl×q,Q∈Rl+×q, |P| ≤QP ≤|P|≤ Q. ()

The next theorem summarizes some basic properties of nonnegative matrices which will be used in what follows.

Theorem .([, ]) Let A∈Rp×p be a nonnegative matrix. Then the following

state-ments hold.

(i) (Perron-Frobenius Theorem)ρ(A)is an eigenvalue ofAand there exists a nonnegative eigenvectorx∈Rp,x= such thatAx=ρ(A)x.

(ii) Givenα∈R+, there exists a nonzero vectorx≥such thatAxαxif and only if

ρ(A)≥α.

(iii) (tInA)–exists and is nonnegative if and only ift>ρ(A). (iv) GivenB∈Rpp,C∈Rp×p. Then

|C| ≤B =⇒ ρ(A+C)≤ρ(A+B).

2 Stability of discrete-time systems under nonlinear time-varying perturbations

Consider a nonlinear discrete-time system of the form

x(k+ ) =fk,x(k), kk, ()

wheref:Z+×Rn→Rnis a given function such thatf(k, ) = , for allk∈Z+(i.e.,ξ= 

is an equilibrium of the system ()).

It is clear that for given k∈Z+ andx∈Rn, () has a unique solution, denoted by x(·,k,x), satisfying the initial condition

x(k) =x. ()

Definition . The zero solution of () is said to be exponentially stable if there exist

M≥ andβ∈[, ) such that

k,k∈Z+,kk;∀x∈Rn: x(k,k,x)≤Mβkkx. ()

We first give a simple sufficient condition for exponential stability of () which is used in what follows.

Proposition . Suppose there exists A∈Rn×n

+ such that

f(k,x)≤A|x|, ∀k∈Z+,∀x∈Rn. ()

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Proof Letx(k) :=x(·,k,x),kk, be the solution of ()-(). It follows from () and ()

that

x(k+ )=fk,x(k)≤Ax(k), ∀kk.

This gives

x(k+ )≤Ax(k)≤Ax(k– )≤ · · · ≤Akk+x(k

)=Akk+|x|, ∀kk.

Without loss of generality, let · = · p(≤p≤ ∞). Hence,

x(k+ )≤Akk+x

, ∀kk. ()

Sinceρ(A) < , there existM≥,β∈[, ) such that

AkMβk, kZ

+, ()

see,e.g., []. By () and (),

x(k,k,x)≤Mβkkx, ∀kk.

This completes the proof.

Remark . In particular, if for eachk∈Z+,f(k,·) is continuously differentiable onRn

and there existsA∈Rn×n

+ such that

J(k,x)≤A, ∀k∈Z+,∀x∈Rn, ()

then () holds. HereJ(k,x) := (dfi

dxj(k,x))∈R

n×n,kZ

+,x∈Rn, denotes the Jacobian matrix

off(k,·) atx. Indeed, we havef(k,x) =f(k,x) –f(k, ) = (J(k,tx)dt)x, by the mean value theorem, see,e.g., []. Therefore, () yields,

f(k,x)=

J(k,tx)dt x

J(k,tx)dt |x| ≤A|x|, ∀k∈Z+,∀x∈Rn.

Suppose all hypotheses of Proposition . hold. Thus, the zero solution of () is expo-nentially stable. Consider a perturbed system of the form

x(k+ ) =fk,x(k)+ N

i=

Dik,x(k)Pik,Eik,x(k), k∈Z+, ()

whereNis a given positive integer andDi:Z+×Rn→Rn×li,Ei:Z+×Rn→Rqi(iN)

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(H) Pi(k, ) = ,∀k∈Z+andEi(k, ) = ,∀k∈Z+for eachiN;

(H) there existDi∈Rnli,Ei∈R+qi×nandPi∈R+li×qi(iN) such that

Di(k,x)≤Di, ∀k∈Z+,∀x∈Rn ()

and

Ei(k,x)≤Ei|x|, ∀k∈Z+,∀x∈Rn;

Pi(k,y)≤Pi|y|, ∀k∈Z+,∀y∈Rqi. ()

The main problem here is to find a positive numberγ such that the zero solution of an arbitrary perturbed system of the form () remains exponentially stable whenever the size of perturbations is less thanγ.

Remark . In particular, if

Di(k,x) :=Di(k)∈Rn×li;

Ei(k,x) :=Ei(k)x, Ei(k)∈Rqi×n,x∈Rn,

and

Pi(k,y) :=Pi(k)y, Pi(k)∈Rli×qi,y∈Rqi,

then the perturbation Ni=Di(k,x(k))Pi(k,Ei(k,x(k))) becomesNi=Di(k)Pi(k)Ei(k)x(k). The problem of robust stability of linear infinite dimensional time-varying system

x(k+ ) =A(k)x(k), k∈Z+, ()

under the time-varying multi-perturbations

A(k) →A(k) + N

i=

Di(k)Pi(k)Ei(k), ()

has been analyzed in [] and an abstract stability bound is given in terms of input-output operators.

We are now in the position to prove the main result of this paper.

Theorem . Assume that all hypotheses of Proposition . hold and A∈Rn×n

+ satisfies (). If (H)-(H) hold and

N

i=

Pi< 

maxi,jNEi(InA)–Dj

, ()

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On the other hand, the resolvent identity gives

Q()––Q(ρ)–= (ρ– )Q()–Q(ρ)–. ()

SinceA∈Rn×n

+ andρ(A) < ≤ρ, Theorem .(iii) yieldsQ()–≥ andQ(ρ)–≥.

Then () implies Q()–Q(ρ

)–≥. Hence,EiQ()–DjEiQ(ρ)–Dj≥, for any

i,jN. By (),EiQ()–Dj ≥ EiQ(ρ)–Dj, for anyi,jN. It follows from () that

N

i=

Pi ≥

maxi,jNEiQ()–Dj .

However, this conflicts with (). This completes the proof.

In particular, suppose () satisfies

A(k)≤A, ∀k∈Z+, ()

for someA∈Rn×n

+ . Consider a perturbed system of the form

x(k+ ) =A(k)x(k) + N

i=

Dik,x(k)Pik,Eik,x(k), k∈Z+, ()

whereDi,PiandEi(iN) are as above.

The following is immediate from Theorem ..

Corollary . Suppose () and (H)-(H) hold andρ(A) < . If () holds then the zero solution of () is exponentially stable.

Corollary . Let A∈Rn×n

+ andρ(A) < . Suppose Di(·) :Z+→Rn×li, Ei(·) :Z+→Rqi×n (iN ), are given and Pi(·) :Z+→Rli×qi (iN ) are unknown. If there exist Di∈Rn×li,

Ei∈Rqi×nand Pi∈Rli×qi(iN ) such that

Di(k)≤Di; Ei(k)≤Ei; Pi(k)≤Pi, ∀k∈Z+,

and () holds then the zero solution of the perturbed system

x(k+ ) =

A+

N

i=

Di(k)Pi(k)Ei(k)

x(k), ∀k∈Z+, ()

is exponentially stable.

Remark . IfA∈Rn+×n, then the system

x(k+ ) =Ax(k), k∈Z+, ()

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role in the modeling of dynamical phenomena whose variables are restricted to be non-negative. They are often encountered in applications, for example, networks of reservoirs, industrial processes involving chemical reactors, heat exchangers, distillation columns, storage systems, hierarchical systems, compartmental systems used for modeling trans-port and accumulation phenomena of substances, see,e.g., [, , ].

In particular, the problem of robust stability of the positive linear discrete-time system () under the time-invariant structured perturbations

AA+DPE,

has been studied in [, ]. More precisely, it has been shown in [, ] that if () is exponentially stable and positive andD,Eare given nonnegative matrices then a perturbed system of the form

x(k+ ) = (A+DPE)x(k), k∈Z+,

remains exponentially stable whenever

P<  E(InA)–D

.

Furthermore, the problem of robust stability of the positive system () under the time-invariant multi-perturbations

AA+

N

i= DiPiEi,

has been analyzed in [] by techniques ofμ-analysis.

Although there are many works devoted to the study of robust stability of discrete-time systems, to the best of our knowledge, the problem of robust stability of the positive system () under the time-varying multi-perturbations

AA+

N

i=

Di(k)Pi(k)Ei(k),

has not been studied yet, and a result like Corollary . cannot be found in the literature.

We illustrate the obtained results by a couple of examples.

Example . Consider the nonlinear time-varying equation

x(k+ ) =  e

kx(k) +sin

k

k+ x(k) , k∈Z+. ()

Clearly, () is of the form () withf(k,x) :=ekx+sin( k

k+x). Since

f(k,x)= e

kx+sin

k

k+ x

 |x|+

kk+ x

≤

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Consider a perturbed equation given by

Example . Consider a linear discrete-time equation inRdefined by

x(k+ ) =Ax(k), k∈Z+, ()

Clearly, () is positive and exponentially stable. Consider a perturbed system given by

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E(I–A)–D=

LetRbe endowed with -norm. By Corollary ., () is exponentially stable provided

As an application, we now deal with an Aizerman-type problem for discrete-time systems.

Aizerman-type conjecture for discrete-time systems (ATC-DTS) Let A∈Rn×n, D

Rn×l, ERq×nbe given. For anyγ> the linear systems

x(k+ ) = (A+DPE)x(k), P∈Rl×q,P<γ, ()

are asymptotically stable if and only if the origin is globally asymptotically stable for all nonlinear systems

x(k+ ) =Ax(k) +DNk,Ex(k), ()

whereN :Z+×Rq→Rl,N(k, ) = ,k∈Z+, satisfies

N(k,y)≤P|y|, ∀k∈Z+,∀y∈Rqand P∈Rl×q,P<γ. ()

In particular, whenN:R→R,yN(y), is a scalar function andD,ETRn, the above conjecture is exactly a discrete-time version of the original Aizerman conjecture which was formulated first for ordinary differential systems, see []. It is well known that in gen-eral, the Aizerman classical conjecture does not hold, see,e.g., []. So a natural question arising here is that under what conditions ofA,D,EandN does the ATC-DTS hold?

Theorem . If A∈Rn×n

+ and D∈Rnl, E∈R

q×n

+ then the ATC-DTS holds. In other words, the ATC-DTS holds for positive systems.

Proof Suppose () is asymptotically stable for anyP∈Rl×q,P<γ, for someγ > . In particular, the unperturbed system () is asymptotically stable. It follows from Corol-lary . that () is asymptotically stable for anyP∈Rl×q,P<

E(InA)–D(see also Re-mark .). Furthermore, there existsP∈Rlq,P=E(InA)–D such that () is not

asymptotically stable forP:=P, see,e.g., [, ]. It remains to show that the zero

so-lution of () is globally asymptotically stable for any nonlinearityN satisfying () with γ :=E(I  the zero solution of () is globally asymptotically stable, by Corollary ..

Conversely, assume that the zero solution of () is globally asymptotically stable for any nonlinearityN satisfying () for someγ > . Then the unperturbed system () is asymptotically stable. As mentioned above, () is asymptotically stable for anyP∈Rl×q, P<E(I

nA)–D. So we assume thatγE(InA)–D. Note that () is not asymptotically

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is not globally asymptotically stable forN defined byN(k,y) :=Py,k∈Z+,y∈Rq. This

completes the proof.

Remark . In general, the question ‘Under what conditions ofA,D,EandN does the ATC-DTS hold?’ is still open.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript.

Author details

1Department of Mathematics, International University, VNU-HCMC, Thu Duc, Sai Gon, Vietnam.2Department of

Mathematics, Dong Thap University, Cao Lanh, Vietnam.

Received: 12 May 2012 Accepted: 5 July 2012 Published: 23 July 2012 References

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References

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