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class of multivalued Lur’e dynamical systems

Bernard Brogliato, Daniel Goeleven

To cite this version:

Bernard Brogliato, Daniel Goeleven. Well-posedness, stability and invariance results for a class of

multivalued Lur’e dynamical systems. [Research Report] RR-7158, INRIA. 2009. �inria-00442081�

(2)

a p p o r t

d e r e c h e r c h e

N0249-6399ISRNINRIA/RR--7158--FR+ENG

Well-posedness, stability and invariance results for a class of multivalued Lur’e dynamical systems

Bernard Brogliato — Daniel Goeleven

N° 7158

December 2009

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Centre de recherche INRIA Grenoble – Rhône-Alpes

systems

Bernard Brogliato

, DanielGoeleven

Thème: Modélisation,optimisationet ontrledesystèmesdynamiques

Équipes-ProjetsBipop

Rapportdereherhe 7158Deember200930pages

Abstrat: Thispaperanalyzestheexisteneand uniquenessissues in alass

ofmultivaluedLur'esystems,where themultivaluedpartisrepresentedasthe

subdierentialofsomeonvex,proper,lowersemiontinuousfuntion. Through

suitable transformations the system is reast into the framework of dynami

variationalinequalitiesandthewell-posedness(existeneanduniquenessofso-

lutions)isproved. Stabilityandinvarianeresultsarealsostudied,togetherwith

thepropertyofontinuousdependeneontheinitialonditions. Theproblemis

motivatedbypratialappliationsineletrialiruitsontainingeletronide-

vieswithnonsmoothmultivaluedvoltage/urrentharateristis,andbystate

observerdesignformultivaluedsystems.

Key-words: Lur'edynamialsystems,passivity,invariane,Kato'stheorem,

maximal monotone operators, variational inequalities, dierential inlusions,

normalones.

INRIAGrenobleRhne-Alpes,Bipopteam-projet,655avenuedel'Europe,38334Sinat-

Ismier,Frane;bernard.brogliatoinrialpes.fr

IREMIA,UniversitédelaRéunion,97400, Saint-Denis,Frane; daniel.goelevenuniv-

reunion.fr

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multivalués

Résumé : Cet artilepropose deux ritères permettant d'assurerl'existene

etl'uniité dessolutionspourdessystèmesde Lur'emultivalués,danslesquels

la partie multivaluée est représentée par la sous-diérentielle d'une fontion

onvexe, propre,semiontinue infèrieurement. Parlebiaisde transformations

adéquatesle systèmeest missouslaformed'uneinéquationvariationnelledy-

namique. La stabilité et le prinipe d'invariane sont aussi étudiés, ainsi que

la dépendane ontinue aux onditions initiales. Le problème est motivé par

l'analysedeiruitsomportantdesomposantsnon-réguliersmultivalués,ainsi

queparlasynthèsed'observateursd'état.

Mots-lés : système de Lur'e, passivité, invariane, stabilité, théorème de

Kato,opérateursmaximauxmonotones, inéquationsvariationnelles,inlusions

diérentielles,nesnormaux.

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1 Introdution

Lur'esystems,whihonsistofalineartime-invariantsystemin negativefeed-

bak with a stati nonlinearity satisfying a setor ondition, have reeived a

onsiderableinterestin theapplied mathematisandontrol literature,dueto

their broadinterest (see [28℄ for a survey). More reentlythe ase where the

nonlinearityis a maximal monotone map has been studied [7℄. The maximal

monotoniityallowsonetoonsiderunboundedsetors[0,+∞]andnonsmooth

set-valuednonlinearities. So-alledlinear omplementarity systemsanbere-

astintoLur'esystems,wherethefeedbaknonlinearitytakestheformofaset

ofomplementarityonditionsbetweentwoslakvariables[24,15, 31℄. Oneof

these slakvariables may be interpretedasaLagrange multiplier λ,while the

other oneusuallytakestheform y =Cx+Dλ. Moregeneralpieewiselinear

nonlinearitieshavebeenonsideredin[27,26℄. Aspointedoutin[7℄thereexists

aloserelationshipbetweensomeomplementaritysystemsanddierentialin-

lusionswith maximalmonotoneright-hand-sides,in partiularinlusions into

normalones to onvexsets (whih arein turn equivalent todynamial varia-

tional inequalitiesoftherstkind). Partiularaseshavebeeninvestigatedin

[23, 10, 11℄. All these works are howeverrestritedto the asewhere D = 0,

exept[26℄whereaneomplementaritysystemsareonsidered. Inthispaper,

weextend the works in [23, 10℄ to the asewhere D 6= 0, i.e. there exists a

feedthroughmatrix in thelinearpartof thesystem. Moreoverthenonlineari-

tieswhihweonsideraremuhmoregeneralthanomplementarityonditions

between y and λ (i.e. y ≥ 0, λ ≥ 0, yTλ = 0) and the onsidered systems

maybewrittenequivalentlyasdynamialvariationalinequalitiesoftheseond

kind. Suh an extension may beimportantin pratie(for instane eletrial

iruitswith idealdiodesand transistorsusuallyyield systemswithanonzero

feedthroughmatrixD,possiblypossitivesemideniteandnonsymmetri). Ob-

serversynthesisfor set-valuedsystemsisalsoanimportantappliation[8, 14℄.

Thiswork mayalsobeseenastheontinuationofpreviouseortstostudythe

relationshipsbetweenvarious types ofdierentialinlusions, omplementarity

systems,projetedsystemsin nitedimensions[11, 19,25,21℄.

The paperis organizedas follows: In setion 2 the dynamial system is pre-

sented,anditswell-posednessis studiedin setion3. Insetion4thestability

propertiesarestudied, andaninvarianeresultispresentedinsetion5. Con-

lusionsendthepaperinsetion6.

Notations: Letf : IRn→IR∪{+∞}beaproperonvexandlowersemiontin-

uousfuntion,wedenote bydom(f) :={x∈IRn: f(x)<+∞} thedomainof

thefuntionf(·). ReallthattheFenheltransformf(·)off(·)istheproper,

onvexandlowersemiontinuousfuntion denedby

(∀z∈IRn) : f(z) = sup

xdom(f){hx, zi −f(x)}.

Thesubdierential∂f(x)off(·)atx∈IRn isdened by

∂f(x) ={ω∈IRn: f(v)−f(x)≥ hω, v−xi,∀v∈IRn},

where h·,·i denotes the usual salar produt in IRn, i.e. hy, zi = yTz for any

vetorsy and z ofIRn. We denote by Dom(∂f) :={x∈IRn : ∂f(x)6=∅} the

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domainof thesubdierentialoperator∂f : IRn →IRn. Letx0 beanyelement

inthedomaindom(f)off(·),thereessionfuntionf(·)off(·)isdened by (∀x∈IRn) : f(x) = lim

λ+

1

λf(x0+λx).

Thefuntionf: IRn →IR∪{+∞}isaproperonvexandlowersemiontinuous funtionwhihdesribestheasymptotibehavioroff(·). Foranonemptylosed

andonvexsetK⊂IRn,thedualoneofKisthenonemptylosedonvexone K denedby

K:={w∈IRn:hw, vi ≥0, ∀v∈K}, (1)

while thepolar one Ko =−K. Letx0 be any element in K, the reession

oneofKisdened by

K= \

λ>0

1

λ(K−x0).

ThesetKisanonemptylosedonvexonethatisdesribedintermsofthe

diretionswhihreedefromK. WhenK isaonethenK=K. Therelative

interiorofasetK isdenotedasrint(K),anditslosureas. LetM ∈IRm×n

be a given matrix, we denote by ker(M) the kernel of M and by R(M) the

rangeofM. M ≥0 meansthat M ispositivesemidenite,M >0 meansthat

itispositivedenite.

2 The multivalued Lur'e system

Let A ∈ IRn×n, B ∈ IRn×p, C ∈ IRp×n, D ∈ IRp×p be given matries, f ∈ C0(IR+; IR) suh that f ∈ L1loc(IR+; IRn) and ϕi : IR → IR∪{+∞} (1 ≤ i ≤ p) given proper onvex and lower semiontinuous funtions. Let x0 ∈ IRn

be some initial ondition, we onsider the problem : Find x ∈ C0(IR+; IRn)

suh that x ∈ Lloc(IR+; IRn) and x right-dierentiable on IR+, λ ∈ C0(IR+; IRp)andy ∈C0(IR+; IRp) satisfyingthenonsmoothdynamial system N SDS(A, B, C, D, f, ϕ1, ..., ϕp, x0):





























x(0) = x0

a.e. t≥0 :

x(t) = Ax(t) +Bλ(t) +f(t) for all t≥0 :

y(t) = Cx(t) +Dλ(t)

λ1(t) ∈ −∂ϕ1(y1(t)) λ2(t) ∈ −∂ϕ2(y2(t))

.

.

.

λp(t) ∈ −∂ϕp(yp(t))

(2)

Thesystemis therefore in theanonialabsolute stability form sineit isthe

negativefeedbakinteronnetionofalinearinvariantsystem(A, B, C, D)(with

input λ, output y and external exitation f(·)) with a stati multivalued nonlinearity (with input y and output −λ). In [23, 10℄ it was onsidered

that D = 0. As weshall see nexttheaseD 6= 0 ompliatestheanalysis. It

is noteworthy that one may have p > n, whih is ruial beause λ is not a

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ontrol input and pmay in appliations be very large. Physial examplesare given laterin the paper. Itis assumed in this paperthat the output y does

notdependexpliitlyontime. Ifthisistheasetheresultsofthispaperdonot

applybeauseonehastoresorttotheperturbedMoreau'ssweepingproessto

derivewell-posednessresults,see[13℄.

Let us setλ = (λ1 · · · λp)T,Φ(·) =ϕ1(·) +· · ·+ϕp(·), andM ∈IRp×p is an

invertiblematrix. OnemayonsideraslightlymoregeneralversionoftheLur'e

system(2)as:









x(0) =x0

x(t) =Ax(t) +Bλ(t) +f(t) λ(t)∈ −M ∂Φ(y(t))

(3)

Denoting¯λ=M−1λ,B¯ =BM,D¯ =DM,(3)isequivalentlyrewrittenas:









x(0) =x0

x(t) =Ax(t) + ¯Bλ(t) +¯ f(t) λ(t)¯ ∈ −∂Φ(Cx(t) + ¯Dλ)¯

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Thereforethetransformedsystem(4)possessesthesamestrutureasthesystem

in (2). TheLur'e system(2)anberepresentedasingure1(a).

Finallyaswillappearlearlylater,alltheexisteneanduniquenessofsolu-

tionsresultswhiharederivedinthispaper(setion3)alsoholdwhenthelinear

term Axisreplaed byaLipshitz ontinuousmappingA(x). Forthe sakeof

larityofthepresentationthelinearaseAxiskeptallthroughthepaper,for

thewell-posednessandthestabilityanalysis.

3 Well-posedness analysis

Inthissetiontheexisteneanduniqueness ofsolutionswill beshownrst

byusingaversionofKato'stheorem,seondviamaximalmonotoneoperators.

Examplesomingfromeletrialiruitsandstateobserverdesignareprovided

toillustrate thetheoretialdevelopments.

3.1 Well-posedness by Kato's theorem

In the remainder of this setion we shall apply some transformations to the

Lur'esystemsothat itswell-posednessanbeanalyzed.

3.1.1 System'stransformations

Letusset

(∀z∈IR) : ϕi,(z) :=ϕi(−z). (5)

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Assumption 1. We assume the existene of z0,i ∈ IR at whih ϕ∗,−i (·) is

ontinuous.

Assumption1is asimplequalitativeondition that isrequired to ensurethat

(see[29℄):

(∀z∈IR) : ∂ϕi,(z) =−∂ϕi(−z).

Then

λi∈ −∂ϕi(yi)⇔yi∈∂ϕi(−λi) =−[−∂ϕi(−λi)] =−∂ϕi,i).

LetusnowdenotebypI (andsetpII =p−pI)thelargestintegersuhthatthe

matrixD anbewrittenasfollows:

D=

0pI×pI 0pII×pI

0pI×pII DII

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with DII 6= 0pII×pII. In using this notation, we suppose by onvention that

pI = 0 (resp. pII = 0) means that the terms indexed by I (resp. II) are

uselessandnotonsidered. So, ifpI = 0 (resp. pII = 0)then D≡DII (resp.

D ≡ 0p×p). For z ∈ IRp, we set also z = zI zII T

with zI ∈ IRpI and zII ∈IRpII,

B = BI BII , C=

CI

CII

withBI ∈IRn×pI, BII ∈IRn×pII, CI ∈IRpI×n andCII ∈IRpII×n. Finally,we

set

(∀y∈IRpI) : ΦI(y) :=ϕ1(y1) +ϕ2(y2) +...+ϕpI(ypI) (7)

and

(∀y∈IRpII) : ΦII(y) :=ϕpI+1(y1) +ϕpI+2(y2) +...+ϕpII(ypII). (8)

Wehave:

(∀z∈IRpII) : ΦII(z) =ϕpI+1(z1) +ϕpI+2(z2) +...+ϕpII(zpII).

Weset

(∀z∈IRpII) : ΦII,(z) := ΦII(−z). (9)

Wenote alsothatAssumption1ensuresthat:

(∀z∈IRpII) : ∂ΦII,(z) =−∂ΦII(−z).

Wealsoset:

(∀x∈IRp) : Φ(x) = ΦI(x) + ΦII(x) (10)

and

(∀x∈IRp) : Φ,(x) = Φ(−x). (11)

Assumption1guaranteesthat

(∀x∈IRp) : ∂Φ,(x) =−∂Φ(−x).

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Itfollowsthat thesystem









λ1(t) ∈ −∂ϕ1(y1(t)) λ2(t) ∈ −∂ϕ2(y2(t))

.

.

.

λp(t) ∈ −∂ϕp(yp(t))

anbewrittenequivalentlyas:

λI(t) ∈ −∂ΦI(yI(t)) λII(t) ∈ −∂ΦII(yII(t))

oras:

λI(t) ∈ −∂ΦI(yI(t)) yII(t) ∈ −∂ΦII,II(t))

Usingthesenotations,weseethatthesystemN SDS(A, B, C, D, f, ϕ1, ..., ϕp, x0)

reduesto thesystem:

























x(0) = x0

a.e. t≥0 :

x(t) = Ax(t) +BIλI(t) +BIIλII(t) +f(t) for allt≥0 :

yI(t) = CIx(t) λI(t) ∈ −∂ΦI(yI(t)) yII(t) = CIIx(t) +DIIλII(t) yII(t) ∈ −∂ΦII,II(t))

Thefeedbaknonlinearityisthereforesplittedintotwomainparts: onepart

indexedbyI ismultivalued,theotherpartindexed byII will beshownunder

ertainonditionstobesingle-valued.

Remark 1 The ase pI = n (i.e. D = 0n×n) has been the objet of spei

papers, see [23,10 ,4 ℄. The omplementarity problem (i.e. ϕi(·) = ΨR+(·)∀i∈ {1, ..., n}),has also beenthe objet ofvarious papers [24 , 15,17,16℄.

Assumption 2. (If pI ≥ 1) There exists a symmetri and invertible matrix W ∈IRn×n suhthat:

W2BI =CIT. (12)

Weset:

V =

W if pI ≥1

I if pI = 0 (13)

and

(∀w∈IRpI) : ΞI(w) =

ΦI(CIV1w) if pI ≥1

0 if pI = 0 (14)

Notie that by [30, Exerise 1.40, Proposition 1.39℄ the funtion ΞI(·) = Φ◦ CIV1(·)islowersemiontinuous,proper,onvex.

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Assumption 3. (IfpI ≥1)There exists apointw0 in IRpI at whih ΞI(·)is

ontinuous.

Assumptions2and3ensureinasepI≥1 that

(∀w∈IRpI) : ∂ΞI(w) =VTCIT∂ΦI(CIV−1w) =V−1CIT∂ΦI(CIV−1w).

ThemultivaluedmappingΞI(·)ismaximalmonotone,beingthesubdierential ofaonvex,proper,lowersemiontinuousfuntion. Letus nowset:

(∀x∈IRn) : ΛII(x) :=

V BII(DII +∂Φ∗,−II )1(−CIIV1x) if pII ≥1

0 if pII = 0

Wesupposealsothefollowing:

Assumption 4. (If pII ≥1) The operator ΛII : IRnIRn : x7→ ΛII(x) is

well-dened,single-valuedandLipshitzontinuous.

Reallingthat

DIIz−q∈ −∂ΦII,(z)⇔q∈(DII +∂ΦII,)(z)⇔z∈(DII+∂ΦII,)1(q),

we note that Assumption 4 (in ase pII ≥ 1)) requires that for all q ∈ IRpII,

thereexistsatleastonez(q)∈IRpII suhthat

hDIIz−q, v−zi+ ΦII,(v)−ΦII,(z)≥0,∀v∈IRpII, (15)

and there exists a onstant K > 0 suh that for all x1, x2IRn and z1 ∈ (DII+∂ΦII,)1(−CIIV1x1),z2∈(DII+∂ΦII,)1(−CIIV1x2):

||V BIIz1−V BIIz2|| ≤K||x1−x2|| (16)

Thesolvabilityofthevariationalinequalityin(15)ensuresthat

(∀x∈IRn) : V BII(DII+∂ΦII,)1(−CIIV1x)6=∅

while the onditionin (16)guaranteesthat ifx∈IRn and z1, z2 ∈(DII +

∂ΦII,)−1(−CIIV−1x)then||z1−z2|| ≤0andthusz1=z2. It resultsthatthe

operatorΛII(·)is single-valued. TheLipshitzontinuityofΛII(·)isthenalso

adiret onsequeneof(16).

Conditionson the matrix DII and on the funtion ΦII,(·) ensuring that As-

sumption4holdswillbedisussedin thefollowingsetion.

The problem N SDS(A, B, C, D, f, ϕ1, ..., ϕp, x0) an be redued, by setting X(t) = V x(t) (∀t ≥ 0), to the following dynamial variational inequality problem: Find X ∈ C0(IR+; IRn) suh that X ∈ Lloc(IR+; IRn) and X right-

dierentiable on IR+ suh that X(0) = V x0 and satisfying for a.e t ≥ 0 the

variationalinequality:

hX(t)−V AV−1X(t)−ΛII(X(t))−V f(t), v−X(t)i

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I(v)−ΞI(X(t))≥0, ∀v∈IRn. (17)

whih we may name a dynamial variational inequality of the seond kind.

Indeed,letusherewritethedetailsin asepI ≥1andpII ≥1. Itislearthat x(0) =x0⇔V x(0) =V x0⇔X(0) =V x0

and









x(t) = Ax(t) +BIλI(t) +BIIλII(t) +f(t) yI(t) = CIx(t)

λI(t) ∈ −∂ΦI(yI(t)) yII(t) = CIIx(t) +DIIλII(t) yII(t) ∈ −∂ΦII,II(t))

m

x(t)−BII(DII+∂ΦII,)1(−CIIx(t))−Ax(t)−f(t)∈ −BI∂ΦI(CIx(t)) m

V x(t)−V BII(DII +∂ΦII,)1(−CIIV1V x(t))

−V AV1V x(t)−V f(t)∈ −V1V2BI∂ΦI(CIV1V x(t)) m

X(t)−V BII(DII +∂ΦII,)−1(−CIIV−1X(t))

−V AV−1X(t)−V f(t)∈ −V−1CIT∂ΦI(CIV−1X(t)) m

X(t)−V AV−1X(t)−V BII(DII+∂ΦII,)−1(−CIIV−1X(t))−V f(t)∈ −∂ΞI(X(t))

from whih onededues(17). TheasepI = 0 (resp. pII = 0)anbededued

fromthepreviousrelationsinremovingthetermsindexedbyI(resp. II). The

system has therefore beentransformed from (a) to (b) in gure 1, whih are

equivalentrepresentations. Aswillbemadelearinthenextsetion,thetrans-

formationonsistsofinsertingtheLipshitzontinuouspartofthemultivalued

nonlinearity,intotheontinuousdynamisofthesystem.

Ax+

λ

y=Cx+

∂ΞI(X)

ΛII(X) V AV−1X

(a)

(b)

X

∂Φ(y)

Figure1: Lur'esystemtransformation.

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