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R E S E A R C H

Open Access

Nonlinear impulsive evolution equations

with nonlocal conditions and optimal

controls

Lanping Zhu

*

and Qianglian Huang

*Correspondence:

[email protected]

School of Mathematics, Yangzhou University, Yangzhou, 225002, China

Abstract

This paper is concerned with controlled nonlinear impulsive evolution equations with nonlocal conditions. The existence of PC-mild solutions is proved, but the uniqueness cannot be obtained. By constructing approximating minimizing sequences of functions, the existence of optimal controls of systems governed by nonlinear impulsive evolution equations is also presented.

MSC: 34G20; 34K35; 47D06; 93C25

Keywords: nonlinear impulsive equations; nonlocal conditions; feasible pairs; optimal controls

1 Introduction

Since the end of last century, impulsive evolution equations and impulsive optimal con-trols have attracted much attention because many evolutional processes are subject to abrupt changes in the form of impulses (see [–]). Indeed, we can find numerous appli-cations in demography, control, mechanics, electrical engineering fields, and so on. Re-cently, there has been significant development in impulsive differential equations and op-timal controls. For more details, we refer to the monographs of Ahmed [, , ], Xiang [, , ], Ashyralyev [, ], Sharifov [–, ], Mardanov [], and the references therein. There are many papers discussing the impulsive differential equations and impulsive op-timal controls with the classic initial condition:x() =x(see [, , , , ]). How does one look for suitable optimal controls when the uniqueness of solutions of controlled im-pulsive equations cannot be obtained? In spite of some attempts and efforts, the previous method is not entirely satisfactory. New techniques must be given. In particular, nonlocal differential equations have been studied extensively in recent years [, , , ]. But the existence of optimal controls of systems governed by nonlocal impulsive evolution equa-tions with the initial conditionx() +g(x) =xseems to be rarely involved. In this paper, we consider the following controlled nonlocal impulsive equation:

⎧ ⎪ ⎨ ⎪ ⎩

x(t) =Ax(t) +f(t,x(t)) +B(t)u(t), t∈[,T],t=ti,

x() +g(x) =x, uUad,

x(ti) =Ji(x(ti)), i= , , . . . ,q,  <t<t<· · ·<tq<T,

(.)

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whereA:D(A)⊆XXis the infinitesimal generator of strongly continuous semigroup S(t) fort>  in a real Banach spaceX,f is a nonlinear perturbation,Ji(i= , , . . . ,q) is

a nonlinear map and x(ti) =x(ti+) –x(ti), g is a givenX-valued function, the control

uUad,Uadis a control set which we will introduce in Section .

By introducing a reasonable mild solution for (.) that can be represented by integral equation, we show the existence of feasible pairs. Moreover, a limited Lagrange problem of system governed by (.) is investigated. Due to the lack of uniqueness of feasible pairs, we mainly apply the idea of constructing approximating minimizing sequences of functions twice and derive the existence of optimal controls. It is different from the usual approach that the Banach contraction mapping theory is applied directly to prove the existence of optimal controls if the uniqueness of feasible pairs cannot be obtained. Therefore our re-sults essentially generalize and develop many previous ones in this field.

This paper is organized as follows. In Section , we give some associated notations and recall some concepts and facts about the measure of noncompactness, fixed point theo-rem and impulsive semilinear differential equations. In Section , the existence results of controlled nonlocal evolution equations are obtained. In Section , the existence of op-timal controls for a Lagrange problem is established. Finally, an example is presented to illustrate our results in the last section.

2 Preliminaries

Let Xbe a real Banach space.L(X) is the class of (not necessary bounded) linear op-erators in X. We denote by C([,T];X) the Banach space of all continuous functions from [,T] to X with the norm u =sup{u(t),t∈ [,T]} and by L([,T];X) the Banach space of all X-valued Bochner integrable functions defined on [,T] with the norm u=

T

u(t)dt. LetPC([,T];X) ={u: [,T]→X:u(t) is continuous att= tiand left continuous att=tiand the right limitu(t+i) exists fori= , , . . . ,q}. It is easy to

check thatPC([,T];X) is a Banach space with the normuPC=sup{u(t),t∈[,T]}

andC([,T];X)⊆PC([,T];X)⊆L([,T];X).

We introduce the Hausdorff measure of noncompactnessαdefined on each bounded subsetofEby

α() =inf

R> ; there are finite pointsx,x, . . . ,xnEwithn

i=

B(xi,R) .

The mapQ:DEEis said to beα-contraction if there exists a positive constant k<  such thatα(QD)≤kα(D) for any bounded closed subsetDE, whereEis a Banach space.

The following fixed point theorem plays a key role in the proof of our main results.

Lemma .([]: Darbo-Sadovskii) If DE is bounded closed and convex,the continuous map Q:DD is anα-contraction,then the map Q has at least one fixed point in D.

LetY be another separable reflexive Banach space where controlsutake values. De-notedPf(Y) by a class of nonempty closed and convex subsets ofY. We suppose that the

multivalued mapw: [,T]→Pf(Y) is measurable,w(·)⊂E, whereEis a bounded set ofY,

and the admissible control setUad=Spw={uLp(E)|u(t)∈w(t), a.e.},p> . ThenUad=∅,

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Throughout this work, we suppose that

(A) The linear operatorA:D(A)⊆XXgenerates a compactC-semigroup

{S(t) :t≥}. Hence, there exists a positive numberMsuch that

M=sup≤tTS(t).

For use in the sequel, we introduce the following definition.

Definition . A functionxPC([,T];X) is said to be a PC-mild solution of the nonlo-cal problem (.), if it satisfies

x(t) =S(t)x–g(x)

+

t

S(ts)fs,x(s)+B(s)u(s)ds+ <ti<t

S(tti)Ji

x(ti)

,

≤tT.

In addition, letrbe a finite positive constant, and setBr:={xX:xr}andWr:= {yPC([,T];X) :y(t)∈Br,∀t∈[,T]}.

3 Controlled impulsive differential equations

In this section, we consider the following controlled nonlocal impulsive problem:

⎧ ⎪ ⎨ ⎪ ⎩

x(t) =Ax(t) +f(t,x(t)) +B(t)u(t), t∈[,T],t=ti,

x() +g(x) =x, uUad,

x(ti) =Ji(x(ti)), i= , , . . . ,q,  <t<t<· · ·<tq<T.

(.)

First, we give the following hypotheses:

(F) () f : [,TXXis a Carathéodory function,i.e., for allxX,

f(·,x) : [,T]→Xis measurable and for a.e.t∈[,T],f(t,·) :XXis continuous.

() For finite positive constantr> , there exists a functionϕrL(,T;R)such that

f(t,x)≤ϕr(t)

for a.e.t∈[,T]andxBr.

(B) B: [,T]→L(Y,X)is essentially bounded,i.e.,BL∞([,T],L(Y,X)). (G) g:PC([,T];X)→Xis a continuous and compact operator.

(J) Ji:XXsatisfies the following Lipschitz condition:

Ji(x) –Ji(x)≤hix–x, i= , , . . . ,q,

for some constantshi> andx,x∈PC([,T];X).

(R) M{x+supxWrg(x)+BuL+

≤iq[Ji()+hir] +ϕrL} ≤r.

Remark . From the assumption (B) and the definition ofUad, it is also easy to verify that

BuLp([,T];X) withp>  for alluU

ad. Therefore,BuL([,T];X) andBuL< +∞.

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Theorem . Assume that there exists a constant r> such that the conditions(A), (F), (B), (G), (J),and(R)are satisfied.Then the nonlocal problem(.)has at least one PC-mild solution on[,T].

In order to obtain the existence of solutions for controlled impulsive evolution equations and optimal controls, we need the following important lemma, which can easily be proved (refer to Lemma . and Corollary . in Chapter  of []).

Lemma . Suppose S(t)is a compact C-semigroup on Banach space X and the operator B satisfies the condition(B).If p> and define

(u)(·) =

Proof of Theorem. The proof is divided into the following three steps. Step. Letx∈Xbe fixed. We define a mappingHonPC([,T];X) by

≤tT. It follows from the properties of theC-semigroup and all assumptions in The-orem . thatHis well defined and mapsPC([,T];X) into itself. Furthermore, one can also easily see thatxPC([,T]) is a PC-mild solution of controlled nonlocal impulsive differential equation (.) if and only ifxis a fixed point ofH. Therefore, we shall prove thatHhas a fixed point inPC([,T]).

Step. We show thatHmapsWrinto itself. By conditions (F), (B), (G), (J), one obtains,

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Step. In the sequel, we show thatHis continuous inWr. Lettingx,x∈Wr, we have

This, together with (F)(), (G), (J), shows thatHis continuous. Step. Now we prove thatHhas at least one fixed point. Set

x(t) =S(t)

α(Wr) = . Similarly, it follows from (A), Arzela-Ascoli’s theorem, and Lemma . that

the mappingis also compact inWr. Therefore,α(Wr) = .

This shows thatHis anα-contraction. Now by Lemma . we immediately deduce that the mappingHhas a fixed point inWr,i.e., (.) has at least one mild solution. This completes

the proof.

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However, they need the locally Lipschitz continuity off. Here, without the Lipschitz as-sumption off, we make full use of the technique of the compactness as regards the solu-tion operator to obtain the solvability of the controlled nonlocal impulsive equasolu-tion (.). Therefore, our results improve those in [, ] and the references therein, and they have broader applications.

Remark . The uniqueness of solution of the controlled impulsive differential equation (.) cannot be obtained. Therefore, we can denote bySol(u) all solutions of system (.) inWr, for anyuUad.

Assume that

(G) g(x) =g(s, . . . ,sm,x(s), . . . ,x(sm)) =

m

j=cjx(sj), wherecj,j= , , . . . ,m, are given con-stants, and <s<s<· · ·<sm<T.

Corollary . Let conditions(A), (F), (B), (G),and(J)be satisfied.Then the nonlocal im-pulsive equation(.)has at least one PC-mild solution on[,T]provided that

M

x+

m

j=

|cj|r+BuL+

≤iq

Ji()+hir

+ϕrL ≤r.

Proof It is easy to see that ifg(x) =g(s, . . . ,sm,x(s), . . . ,x(sm)) =

m

j=cjx(sj), then the

con-dition (G) holds. Thus all the concon-ditions in Theorem . are satisfied. Then the nonlocal impulsive equation (.) has at least one PC-mild solution on [,T]. This completes the

proof.

4 Existence of optimal controls

In the section, we give the existence of optimal controls for system (.).

LetxuWr denote the PC-mild solution of system (.) corresponding to the control

uUad, we consider the following limited Lagrange problem (P):

FindxW

rPC([,T];X) andu∈Uadsuch that

Jx,u≤Jxu,u, for alluUad,

where

Jxu,u=

T

lt,xu(t),u(t)dt

andxW

rdenotes the PC-mild solution of system (.) corresponding to the control

uU

ad.

We make the following assumption:

(L) () The functionl: [,TX×YR∪ ∞is Borel measurable;

() l(t,·,·)is sequentially lower semicontinuous onX×Yfor a.e.t∈[,T]; () l(t,x,·)is convex onYfor eachxXand a.e.t∈[,T];

() there are two constantsc≥,d> andφL([,T];R)such that

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Remark . A pair (x(·),u(·)) is said to feasible if it satisfies system (.) forx(·)∈Wr.

Remark . If (xu,u) is a feasible pair, thenxuSol(u)W r.

Theorem . Assume that condition(L)is satisfied.Under the conditions of Theorem., the problem(P)has at least one optimal feasible pair.

Proof The proof is divided into the following four steps. Step. For anyuUad, set

J(u) = inf

xuSol(u)J

xu,u.

If there are finite elements inSol(u), there exists somexu∈Sol(u), such thatJ(xu,u) = infxuSol(u)J(xu,u) =J(u).

If there are infinite elements in Sol(u), there is nothing to prove in the case ofJ(u) = infxuSol(u)J(xu,u) = +∞.

We assume thatJ(u) =infxuSol(u)J(xu,u) < +∞. By assumption (L), one hasJ(u) > –∞. By the definition of the infimum there exists a sequence {xu

n}∞n= ⊆Sol(u), such that J(xu

n,u)→J(u) asn→ ∞.

Since{(xu

n,u)}∞n=is a sequence of feasible pairs, we have

xun(t) =S(t)x–g

xun+

t

S(ts)fs,xun(s)+B(s)u(s)ds

+

<ti<t

S(tti)Ji

xun(ti)

, ≤tT. (.)

Step . Now we will prove that there exists some xu ∈ Sol(u) such that J(xu,u) = infxuSol(u)J(xu,u) =J(u). To show it, we first prove that{xu

n}∞n=is precompact inPC([,T]; X) for eachuUad. For this purpose, note that

xun=xun+xun+xun.

From Step  in the proof of Theorem ., we know that{xun}∞n=and{xun}∞n=are both precompact subsets ofPC([,T];X). Moreover, by condition (J), we see that is Lips-chitz continuous inPC([,T];X) with Lipschitz constantM(qi=hi). Thus, according to

the properties of the Hausdorff measure of noncompactness, we conclude that

βxunn=β

xunn=+β

xunn=+β

xunn=

M

q

i= hi

βxunn=.

Since the condition (R) holds, M(qi=hi) < . Thus the above inequality implies that

β({xu

n}∞n=) = . Consequently, the set{xun}∞n=is precompact inPC([,T];X) foruUad.

Without loss of generality, we may suppose thatxu

nxu, asn→ ∞inPC([,T];X) for

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g,Ji, andf with respect to the second argument, and using the dominated convergence and using the assumption [L] and Balder’s theorem, we have

J(u) = lim flexive Banach space. Thus there exists a subsequence, and without loss of generality we may suppose that{un}∞n=converges weakly to someu∈Lp([,T];Y) asn→ ∞.

Note thatUadis closed and convex, so it follows from the Mazur lemma thatu∈Uad.

Forn≥,xun is the mild solution for (.) corresponding tou

n, whereJ(un) attains its

minimum. Then (xun,u

n) is a feasible pair and satisfies the following integral equation:

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Similar to Step  in the proof of Theorem ., we deduce that β({xun}∞

n=) = , i.e.,

{xun}∞

n= ⊆PC([,T];X) is precompact. Thus there exists a subsequence, relabeled as

{xun}∞

Remark . Constructing approximating minimizing sequences of functions twice plays a key role in the proof of looking for optimal controls, which enable us to deal with the multiple solution problem of feasible pairs. More importantly, this will allow us to study more extensive and complex evolution equations and optimal controls problems. More-over, we have the following consequences.

Corollary . Assume that conditions(A), (F), (B), (G), (J),and(L)are satisfied.Then the problem(P)has at least one optimal feasible pair on[,T]provided that

M

Proof If condition (G) holds, then we conclude to the existence of feasible pairs on [,T] from Corollary .. Similar to the proof of Theorem ., we can obtain the optimal feasible

pair on [,T]. This completes the proof.

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Corollary . Assume that conditions(A), (F), (B), (J),and(L)are satisfied and g(x) =x. Then the problem(P)has at least one optimal control on[,T]provided that

M

We use the following assumptions instead of (J) and (R):

(J) Ji:XX,i= , , . . . ,q, are continuous and compact mappings. (R) M{x+supxWrg(x)+BuL+supxWr

q

i=Ji(x(ti))+ϕrL} ≤r.

We may apply Schauder’s second fixed point theorem to obtain the existence of PC-mild solutions. Note thatHis a continuous mapping fromWrtoWr. We need to prove

thatHis a compact mapping. In fact, we already proved thatandare both compact operators in Theorem .. The same idea can be used to prove the compactness ofdue to the assumption (J) and the Ascoli-Arzela theorem. The rest of the proof is similar to that of Theorem .. So we can obtain the following result.

Corollary . Let(A), (F), (B), (G), (J), (R),and(L)be satisfied.Then the problem(P)has at least one optimal control on[,T].

5 An example

In this section, we shall give one example to illustrate our theory.

Example . Consider the following semilinear partial differential system:

Further, we assume thatωsatisfies:

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Now we assume that:

() f: [,TXXis a continuous function defined by

f(t,z)(y) =Ft,z(y), ≤tT, ≤y≤.

Moreover, for givenr> , there exists an integrable functionφr: [,T]→Rsuch thatf(t,z) ≤φr(t)fort∈[,T],zBr.

() g:PC([,T];X)→Xis defined by

g(x)(y) =

 

T

ωt,y,ξ,x(t,ξ)dt dξ, y∈[, ].

From Theorem . in [], we directly see thatgis well defined and it is a continuous and compact map by the above conditions (i) and (ii) about the functionω.

() Ji:XXis a continuous function for eachi= , , . . . ,q, defined by

Ji(x)(y) =Ji

x(y).

Here we takeJi(x(y)) = (αi|x(y)|+ti)–,αi> ,i= , , . . . ,q, <t<t<· · ·<tq<T,

y∈[, ]. ThenJiis Lipschitz continuous with constanthi=αi/ti,i= , , . . . ,q,i.e., the assumption (J) is satisfied.

Let us observe that the problem (.) may be reformulated as

⎧ ⎪ ⎨ ⎪ ⎩

x(t) =Ax(t) +f(t,x(t)) +B(t)u(t), t∈[,T],t=ti,

x() =g(x),

x(ti) =Ji(x(ti)), i= , , . . . ,q,

(.)

with the cost function

Jxu,u=

T

xu(t)X+u(t)Ydt,

where (xu,u) is a feasible pair. If the inequality

M

sup

xWr

g(x)+uL+

≤iq

Ji()+r·αi/ti

+φrL

r

holds, (.) satisfies all the assumptions given in our former theorems. Therefore our re-sults can be used to deal with (.).

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors read and approved the final manuscript.

Acknowledgements

The authors are grateful to the editor and anonymous reviewers for their valuable comments and suggestions. Moreover, this research was supported by the Natural Science Foundation of China (11201410) and the Natural Science Foundation of Jiangsu Province (BK2012260 and BK20141271).

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References

1. Lakshmikantham, V, Bainov, DD, Simeonov, PS: Theory of Impulsive Differential Equations. World Scientific, Singapore (1989)

2. Ahmed, NU, Teo, KL, Hou, SH: Nonlinear impulsive systems on infinite dimensional spaces. Nonlinear Anal.54, 907-925 (2003)

3. Ahmed, NU: Optimal feedback control for impulsive systems on the space of finitely additive measures. Publ. Math. (Debr.)70, 371-393 (2007)

4. Li, X, Yong, J: Optimal Control Theory for Infinite Dimensional Systems. Birkhäuser, Basel (1995)

5. Zavalishchion, A: Impulsive dynamic systems and applications to mathematical economics. Dyn. Syst. Appl.3, 443-449 (1994)

6. Chang, YK, Li, WS: Solvability for impulsive neutral integro-differential equations with state-dependent delay via fractional operators. J. Optim. Theory Appl.144, 445-459 (2010)

7. Wei, W, Xiang, X, Peng, Y: Nonlinear impulsive integro-differential equations of mixed type and optimal controls. Optimization55, 141-156 (2006)

8. Ashyralyev, A, Sharifov, YA: Existence and uniqueness of solutions for nonlinear impulsive differential equations with two-point and integral boundary conditions. Adv. Differ. Equ.2013, 173 (2013)

9. Ashyralyev, A, Sharifov, YA: Optimal control problems for impulsive systems with integral boundary conditions. Electron. J. Differ. Equ.2013, 80 (2013)

10. Sharifov, YA, Mamedova, NB: Optimal control problem described by impulsive differential equations with nonlocal boundary conditions. Differ. Equ.50, 401-409 (2014)

11. Sharifov, YA: Optimality conditions in problems of control over systems of impulsive differential equations with nonlocal boundary conditions. Ukr. Math. J.64, 958-970 (2012)

12. Ahmed, NU, Xiang, X: Nonlinear uncertain systems and necessary conditions of optimality. SIAM J. Control Optim.35, 1755-1772 (1997)

13. Pongchalee, P, Sattayatham, P, Xiang, X: Relaxation of nonlinear impulsive controlled systems on Banach spaces. Nonlinear Anal.68, 1570-1580 (2008)

14. Mardanov, MJ, Sharifov, YA, Molaei, HH: Existence and uniqueness of solutions for first-order nonlinear differential equations with two-point and integral boundary conditions. Electron. J. Differ. Equ.2014, 259 (2014)

15. Xue, X: Semilinear nonlocal problems without the assumptions of compactness in Banach spaces. Anal. Appl.8, 211-225 (2010)

16. Zhu, L, Huang, Q, Li, G: Existence and asymptotic properties of solutions of nonlinear multivalued differential inclusions with nonlocal conditions. J. Math. Anal. Appl.390, 523-534 (2012)

17. Banas, J, Goebel, K: Measure of Noncompactness in Banach Spaces. Lecture Notes in Pure and Applied Mathematics, vol. 60. Dekker, New York (1980)

References

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