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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�
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
Centre de recherche INRIA Grenoble – Rhône-Alpes
systems
Bernard Brogliato
∗
, DanielGoeleven
†
Thème: Modélisation,optimisationet ontrledesystèmesdynamiques
Équipes-ProjetsBipop
Rapportdereherhe n° 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
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.
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
x∈dom(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
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).
ThesetK∞isanonemptylosedonvexonethatisdesribedintermsofthe
diretionswhihreedefromK. WhenK isaonethenK∞=K. Therelative
interiorofasetK isdenotedasrint(K),anditslosureasK¯. 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′ ∈ L∞loc(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
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)¯
(4)
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) : ϕ∗i,−(z) :=ϕ∗i(−z). (5)
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) : ∂ϕ∗i,−(z) =−∂ϕ∗i(−z).
Then
λi∈ −∂ϕi(yi)⇔yi∈∂ϕ∗i(−λi) =−[−∂ϕ∗i(−λi)] =−∂ϕ∗i,−(λi).
LetusnowdenotebypI (andsetpII =p−pI)thelargestintegersuhthatthe
matrixD anbewrittenasfollows:
D=
0pI×pI 0pII×pI
0pI×pII DII
(6)
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) : Φ∗II(z) =ϕ∗pI+1(z1) +ϕ∗pI+2(z2) +...+ϕ∗pII(zpII).
Weset
(∀z∈IRpII) : Φ∗II,−(z) := Φ∗II(−z). (9)
Wenote alsothatAssumption1ensuresthat:
(∀z∈IRpII) : ∂Φ∗II,−(z) =−∂Φ∗II(−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).
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) ∈ −∂Φ∗II,−(λII(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) ∈ −∂Φ∗II,−(λII(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(CIV−1w) if pI ≥1
0 if pI = 0 (14)
Notie that by [30, Exerise 1.40, Proposition 1.39℄ the funtion ΞI(·) = Φ◦ CIV−1(·)islowersemiontinuous,proper,onvex.
Assumption 3. (IfpI ≥1)There exists apointw0 in IRpI at whih ΞI(·)is
ontinuous.
Assumptions2and3ensureinasepI≥1 that
(∀w∈IRpI) : ∂ΞI(w) =V−TCIT∂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(−CIIV−1x) if pII ≥1
0 if pII = 0
Wesupposealsothefollowing:
Assumption 4. (If pII ≥1) The operator ΛII : IRn →IRn : x7→ ΛII(x) is
well-dened,single-valuedandLipshitzontinuous.
Reallingthat
DIIz−q∈ −∂Φ∗II,−(z)⇔q∈(DII +∂Φ∗II,−)(z)⇔z∈(DII+∂Φ∗II,−)−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+ Φ∗II,−(v)−Φ∗II,−(z)≥0,∀v∈IRpII, (15)
and there exists a onstant K > 0 suh that for all x1, x2 ∈ IRn and z1 ∈ (DII+∂Φ∗II,−)−1(−CIIV−1x1),z2∈(DII+∂Φ∗II,−)−1(−CIIV−1x2):
||V BIIz1−V BIIz2|| ≤K||x1−x2|| (16)
Thesolvabilityofthevariationalinequalityin(15)ensuresthat
(∀x∈IRn) : V BII(DII+∂Φ∗II,−)−1(−CIIV−1x)6=∅
while the onditionin (16)guaranteesthat ifx∈IRn and z1, z2 ∈(DII +
∂Φ∗II,−)−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 Φ∗II,−(·) 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′ ∈ L∞loc(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
+ΞI(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) ∈ −∂Φ∗II,−(λII(t))
m
x′(t)−BII(DII+∂Φ∗II,−)−1(−CIIx(t))−Ax(t)−f(t)∈ −BI∂ΦI(CIx(t)) m
V x′(t)−V BII(DII +∂Φ∗II,−)−1(−CIIV−1V x(t))
−V AV−1V x(t)−V f(t)∈ −V−1V2BI∂ΦI(CIV−1V x(t)) m
X′(t)−V BII(DII +∂Φ∗II,−)−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+∂Φ∗II,−)−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+Bλ
λ
y=Cx+Dλ
∂ΞI(X)
−ΛII(X) V AV−1X
(a)
(b)
X
∂Φ(y)
Figure1: Lur'esystemtransformation.