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W O R K I N G P A P E R

CONTINGENT ISAACS EQUATIONS OF A DIFFERENTIAL GAME

Jean-Pierre A ubin

September 1988 WP-88080

l n l e r n a l i o n a l l n s t ~ t u t e for Applied Systems Analysis

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CONTINGENT ISAACS EQUATIONS OF A DIFFERENTIAL GAME

Jean-Pierre A ubin

September 1988 WP-88-080

Working Papera are interim reports on work of the International Institute for Applied Systems Analysis and have received only limited review. Views or opinions expressed herein do not necessarily represent those of the Institute or of its National Member Organizations.

INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS A-2361 Laxenburg, Austria

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Contingent Isaacs Equations of a Differen- tial Game

Jean-Pierre Aubin

C E R E M A D E

,

UNIVERSITE DE PARIS- DAUPHINE

&

I I A S . 4 , INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS

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FOREWORD

The purpose of this paper is to characterize classical and lower semicon- tinuous solutions to the Hamilton-Jacobi-Isaacs partial differential equa- tions associated with a differential game and, in particular, characterize closed subsets the indicators of which are solutions t o these equations. For doing so, the classical concept of derivative is replaced by contingent epi- derivative, which can apply t o any function.

T h e use of indicator of subsets which are solutions of either one of the contingent Isaacs equation allows to characterize areas of the playability set in which some behavior (playability, winability, etc.) of the players can be achieved.

Alexander B. Kurzhanski Chairman System and Decision Science Program

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Contents

1 Introduction 1

2 Contingent Isaacs Equations 3

3 Characterization of some behavioral properties 6 4 Appendix: Lower Semicontinuous Lyapunov Functions 9

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Contingent Isaacs Equations of a Differential Game

Jean-Pierre Aubin

1 Introduction

Let us consider a differential game described by

2 ) ~ ' ( t ) = h ( z ( t ) , u ( t ) , v ( t ) ) (1) 2 ) ~ ( t ) E U ( z ( t ) )

2 ) v(t) E V ( z ( t ) )

where h :

R n

x

RP

x

RQ

+

R n

describes the dynamics of the game and where the set-valued U :

R n

2-t

RP

and V :

R n

2-t

R Q

are the a priori feedback maps of our players Xavier and Yves which represent the state-dependent constraints bearing on the controls of each player.

We denote by K , the playability set, the intersection of the domains of U and V.

T h e purpose of this paper is to characterize the solutions @ to the fol- lowing four Hamilton-Jacobi-Isaacs partial differential equations associated with this differential game.

We shall study the properties of the solutions (classical of lower semi- continuous) to these partial differential equations, and in particular, char- acterize the solutions which are indicators of closed subsets L, defined by

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which are only lower semicontinuous. For that purpose, we shall weaken the concept of usual derivative and replace it by the concept of contingent epiderivative, which can apply to any function1, and generalize these Isaacs partial differential equation to corresponding contingent Isaacs equations2.

T h e use of indicator of subsets which are solutions of either one of the contingent Isaac's equation allows t o characterize areas of t h e playability set in which some behavior (playability, winability, etc.) of the players can be achieved.

Example Let us consider our two players, Xavier and Yves. Xavier acts on a state space X and Yves on a state space Y . For doing so, they have access to some knowledge about the global state (x, y) of the system and are allowed t o choose controls u in a global state dependent set U(x, y) and v in a global state dependent set V ( x , y) respectively.

Their actions on the state of the system are governed by the system of differential inclusions:

We now describe the influences (power relations) t h a t Xavier exerts on Yves and vice-versa through rules of the game. They are set-valued maps P : Y

-

X and Q : X

-

Y which are interpreted in the following way.

When the state of Yves is y, Xavier's choice is constrained t o belong t o P ( y ) . In a symmetric way, the set-valued map Q assigns t o each state x the set Q ( x ) of states y that Yves can implement3.

'See [2, Chapter VII] for an introduction t o nonsmooth and set-valued analysis 21n t h e extent where Isaacs are partial differential equations, they have, under adequate assumptions, unique "viscosity solutionsn, which are only continuous (See [3,4,8,9,10,20,21] and the references of theses papers). In t h e case of control problems, it has been shown in [12,13,14] t h a t any viscosity solution is a solution t o an adequate contingent version of Hamilton-Jacobi-Bellman equation. T h e comparison of the solutions in t h e case of differential games remains to be done.

3We can easily extend the results below t o the time-dependent case using the methods of 111.

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Hence, t h e p l a y a b i l i t y d o m a i n of the game is the subset K

c X x Y

defined by:

Naturally, we must begin by providing sufficient conditions implying that the playability domain is non empty. Since the playability domain is the subset of fixed-points (x, Y) of the set-valued m a p (x, y) w P ( y )

x

Q ( x ) , we can use one of t h e many fixed point theorems t o answer this type of questions4.

From now o n , we shall assume t h a t the playability domain associated with the rules P and Q is not empty.

By denoting by z := (x, y) E Z :=

X x Y

the global state, by h(z, u , v) :=

(f (x, u , v), g(y, u , v)) the values of the map h :

R n x RP x R Q

+

R n

describ-

ing the dynamics of the game, by L := G r a p h ( P ) Xavier's closed domain, by M := Graph(QP1) Yves's one and by K := L n M t h e playability domain. We shall also identify the set-valued maps U and V with their restrictions t o L and M respectively by setting U(z) :=

0

whenever z

$

L and V ( z ) :=

0

when z

$

M.

2 Contingent Isaacs Equations

Since we want t o include indicators of subsets among the solutions of Isaacs equations and also, look for smaller lower semicontinuous solutions t o such a n equation satisfying such or such property, we are led to weaken the concept of usual derivatives involved in these partial differential equations by replacing them by contingent epiderivatives, since any extended func- tion @ :

X

-+

R

u {+a) has contingent epiderivative5, and in particular,

4For instance, Kakutani's Fixed Point Theorem furnishes such conditions: Let L c X and M c Y be compact convez subsets and P : M

-

L and Q : L

-

M be closed maps w i t h nonempty convez images. Then the playability domain is not e m p t y .

5the contingent epiderivative of @ at z E D o m ( 9 ) in the direction v is defined by D T @ ( z ) ( v ) := h > r n ! ~ c u ( @ ( z

+

hu) - @ ( z ) ) / h

It is characterized by the fact that its epigraph is the contingent cone to the epigraph of

@ at ( 2 , @ ( z ) ) .

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indicators, for which we have the relation

Theorem 2.1 Let us assume at least that h :

R n

x

RP

x

RQ

+

R n

is continuous, has linear growth

,

and that the set-valued maps are closed with linear growth.

W e assume that the all eztended functions iP are nonnegative and con- tingently epidiflerentiable6 and that their domains are contained i n the in- tersection K of the domains of U and V .

1 - If the values of the set-valued maps U and V are convez and if h is a f i n e with respect t o the controls, @ is a solution t o the contingent equation

inf inf D T @ ( z ) ( h ( z , u , v ) ) = 0

u E U ( 2 ) v E V ( 2 )

if and only if

2 - Assume that h is uniformly lipschitzean with respect t o z. Then

@ is a solution t o the contingent equation

if and only i f

3 - Assume that V is lower semicontinuous, that the values of U and V are convez and that h is a f i n e with respect t o u. Then @ is a solution t o the contingent equation

sup inf D t @ ( z ) ( h ( z , u , v ) ) = 0

" € V ( 2 ) uEU ( 2 )

6This means that for all z E Dam(@), V u E X , D t @ ( z ) ( u ) > -m and that D r c S ( z ) ( u ) < oo for at least a u E X.

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if and only if for any continuous closed-loop control G(z) E V ( z ) played by Yues and any initial state z E Dam(@), there exists a solution z ( . ) t o Xauier's control problem

starting at z and satisfying V t

2

0, @ ( z ( t ) )

5

@ ( z ) .

4

- Assume that V is lower semicontinuous with convex values.

T h e n @ is a solution t o the contingent equation

inf sup D T @ ( z ) ( h ( z , u , v ) ) = 0

u E u ( z ) U E V ( Z )

if and only if Xauier can play a closed-loop control G(z) E U ( z ) such that, for any continuous closed-loop control G(z) E V ( z ) played by Yues and for any initial state z E Dam(@), there exists a solution z ( - ) t o

starting at z and satisfying V t 2 0 , @ ( z ( t ) )

5

@ ( z ) . The converse is true if

Ba := { a E U ( z ) : sup D T @ ( z ) ( h ( z , U , v ) ) = inf sup D T @ ( z ) ( h ( z , u , v ) ) )

v € V ( z ) uEU ( 2 ) v E V ( z )

is lower semicontinuous with closed conuez values.

Proof - It is based on the properties of lower semicontinuous Lyapunov functions and universal Lyapunov functions of a differential inclusion which are stated in the appendix.

- T h e two first statements are translations of the theorems char- acterizing Lyapunov and universal Lyapunov functions applied t o the dif- ferential inclusion z' ( t ) E H ( z ( t ) ) where H ( z ) := f ( z , U ( z ) , V ( 2 ) ) .

- Let us prove the third one. Assume that @ satisfies the stated property. Since V is lower semicontinuous with convex values, Michael's Theorem implies that for all zo E D o m ( V ) and vo E V ( z o ) , there exists a continuous selection C(.) of V such that v ( z o ) = vo. Then @ enjoys the

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Lyapunov property for the set-valued map H6 (z) := h (z, U ( z ) , v" ( 2 ) ) ) and thus, there exists uo E U(zo) such that

Hence is a solution to (6).

Conversely, assume t h a t 9 is a solution to (6). Then for all closed-loop control C, the set-valued map Hi, satisfies the assumptions of the theorem characterizing Lyapunov functions, so that there exists a solution to the inclusion z' E H G ( z ) for all initial state z E D o m ( 9 ) satisfying V t

>

0, @ ( z @ ) )

5

@ ( z ) .

- Consider finally the fourth statement. Assume that Xavier's can find a continuous closed-loop control ii such that for all closed-loop control 6 , 9 enjoys the stated property. Since V is lower semicontinuous with convex values, Michael's Theorem implies that for all zo E Dom(V) and vo E V(zO), there exists a continuous selection G(.) of V such that v(zo) = vo. Since for any continuous closed-loop control 6(.), 9 enjoys the Lyapunov property for the single-valued map z --, h ( z , ii(z), v" ( z ) ) , we deduce t h a t for all zo E D o m ( 9 ) , that there exists u := ii(z) such that for all v E V ( z ) , D T 9 ( z ) ( h ( z , u, v ) )

5

0, so that 9 is a solution t o (6).

Conversely, assume that the set-valued map B* is lower semicontinuous with closed convex values. Hence Michael's Theorem implies that there exists a continuous selection ii of B*. Then for any continuous closed-loop control G ( . ) E V ( - ) , we deduce from (8) t h a t 9 is a Lyapunov function for the single-valued map z -+ h(z,ii(z),v"(z)), so t h a t , for all z E D o m ( 9 ) , there exists a solution z(.) t o the system (9) satisfying V t

2

0, 9 ( z ( t ) )

5

a(.).

3 Characterization of some behavioral prop- erties

Let L b e a closed subset of the intersection K of the domains of U and V.

T h e problem we investigate is to find that a ( or all) solution(s) z(.) of the game which is (are) viable in L. There are several ways to achieve that purpose, according t o the cooperative or non cooperative behavior of the players. We shall examine here six of them.

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Definition 3.1 W e shall say the a subset L enjoys:

1 - the "playability property" if and only if

2 - the "winability property" if and only if

9 - "Xavier's discriminating property" if and only if for any con- tinuous closed-loop control G(z) E V ( z ) played by Yues and any initial state z E L , there ezists a solution z ( . ) t o Xavier's control problem

starting at z and which is viable i n L .

4

- "Xavier's leading property" if and only if Xauier can play a closed-loop control G(z) E U ( z ) such that, for any continuous closed-loop control G(z) E V ( z ) played by Yves and for any initial state z E L , there ezists a solution z ( . ) t o (9) starting at z and viable i n L .

We shall characterize these properties: for that purpose we associate with L the following set-valued maps:

- T h e regulation map R L defined by

- Xavier's discriminating map AL defined by

- Xavier's leading map B L defined by

Definition 3.2 W e shall say that

- L is playability domain

if

V z E L , R L ( z )

# 0

- L is a winability domain

if

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tr

z E L , R L ( z ) := U ( Z ) x V ( Z )

- L is a Xavier 's discriminating domain if

- L is a Xavier's leading domain if

tr

z E L , B L ( z )

# 0

We begin by translating these properties in terms of contingent Isaacs equations:

Proposition 3.3 Let us assume that h :

R n

x

RP

x

RQ

+

R n

is continu- ous, has linear growth

,

and that the set-valued maps are closed with linear growth.

- L is playability domain if and only if \EL is a solution t o

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- L is a winability domain if and only if \EL is a solution t o (5)

- L is a discriminating domain for Xauier if and only if \EL is a solution t o ( 6 )

- L is a leading domain for Xavier if and only if \EL is a solution t o (8)

Therefore, Theorem 2.1 implies the following characterization of these domains:

Corollary 3.4 Let us assume at least that h :

R n

x

RP

x

R Q

+

R n

is continuous, has linear growth

,

and that the set-valued maps are closed with linear growth.

1 - If the values of the set-valued maps U and V are convex and if h is a f i n e with respect t o the controls, then L enjoys the playability property if and only if it is a playability domain.

2 - Assume that h is uniformly lipschitzean with respect t o x. T h e n L enjoys the winability property if and only if it is a winability domain.

9 - Assume that V is lower semicontinuous, that the values of U and V are convex and that h is a f i n e with respect t o u . T h e n L enjoys Xavier's discriminating property if and only if it is a discriminating domain for Xavier.

4

- Assume that V is lower semicontinuous with convex values. If L enjoys Xavier 's leading property, then it is a leading domain for him. The converse is true if BL is lower semicontinuous with closed convex values.

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The existence theorems of the viability and invariance kernels imply the following consequence:

Proposition 3.5 Let us assume that h : Rn x RP x

RQ

+ Rn is continu- ous, has linear growth

,

and that the set-valued maps are closed with linear growth.

1 - If the values of the set-valued maps

U

and V are convex and if h is a f i n e with respect t o the controls, then there exists a largest closed playability domain contained i n L , whose indicator is the smallest lower semicontinuous solution t o

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larger than or equal t o the indicator \kL of L.

2 - Assume that h is uniformly lipschitzean with respect t o 2 .

Then there exists a largest closed winability domain contained i n L , whose indicator is the smallest lower semicontinuous solution t o (5) larger than or equal t o the indicator \kL of L .

Remark - The question whether there are largest closed discrimi- nating and leading domains remains an open question.

4 Appendix: Lower Semicontinuous Lyapunov Functions

We consider now a differential inclusion

( 1 2 ) for almost all t

2

0 , x l ( t ) E F ( z ( t ) )

and time-dependent functions w ( . ) defined as solutions to a differential equation

where

4

: R+ + R is a given continuous function with linear growth.

This function

4

is used as a parameter in what follows.

The main instance of such a function

4

is the affine function 4 ( w ) :=

aw

-

6, the solutions of which are w ( t ) = ( w ( 0 ) - %)e-at

+ %.

Our problem is t o characterize either

4

-Lyapunov functions, i.e., non- negative extended functions V : X + R+ U {+m) satisfying

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( 1 4 )

v

t

2

0 , V ( x ( t ) )

I

w ( t ) , ~ ( 0 ) = V ( z ( 0 ) )

along a t least a solution t o the differential inclusion ( 1 2 ) or

4-

universal

Lyapunov functions, wich satisfy property ( 1 4 ) along all solutions to ( 1 2 ) . Definition 4.1 W e shall say that a nonnegative contingently epidiflerentiable7

extended function V is a Lyapunov function of F associated with a func- t i o n

d ( . )

: R+ H R if and only if V is a solution t o the contingent Hamilton- Jacobi inequalities

( 1 5 ) V x E D o m ( V ) , V E F ( Z ) inf DT V ( x ) ( v )

+

4 ( V ( x ) )

I

0

and a universal Lyapunov function of F associated with a function if and only if V is a solution t o the upper contingent Hamilton-Jacobi inequalities

( 1 6 ) V x E Dom(V), sup D T V ( x ) ( v )

+

4 ( V ( x ) )

I

0

v € F ( z )

Theorem 4.2 Let V be a n nonnegative contingently epidiflerentiable ez- tended function and F : X X be a nontrivial set-valued map.

- Let us assume that F is upper semicontinuous with compact convex images and linear growth. T h e n V is a Lyapunov function of F associated with

4(.)

if and only if for all initial state xo E D o m ( V ) , there exist solutions x ( - ) t o diflerential inclusion (12) and w ( . ) t o diflerential equation (13) satisfying property (14).

- If F is lipschitzean o n the interior of its domain with compact values, t h e n V is a universal Lyapunov function associated with

4

if and only if for all initial state xo E D o m ( V ) , all solutions x ( . ) t o diflerential inclusion (12) and w ( . ) t o diflerential equation (13) do satisfy property (14).

T h e proof is based on the viability and invariance theorems of the closed subset EpV for the differential inclusion:

{ 1 4,)

E F ( x ( t , , ii) w l ( t ) = - 4 ( w ( t ) )

'This means that for all z E Dom(V), V v E X, D T V ( z ) ( v ) > -m and t h a t

D r V(z)(v) < oo for at least a v E X.

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and these viability and invariance theorems can be reformulated the in the following way:

Corollary 4.3 Let F : X ?.r X be a nontrivial set-valued map.

- Let us assume that F is upper semicontinuous with compact convex images and linear growth.

A closed subset K enjoys the viability property if and only if its indicator Q K is a solution t o the contingent equation

inf D T Q K ( s ) ( v ) = 0

u E F ( z )

- I f F is lipschitzean on the interior of its domain with compact values, then K i s invariant by F if and only if its indicator Q K is a solution t o the contingent equation

The functions Q and U : X -+ R+

u

{+m) being given, can we construct the smallest lower semicontinuous Lyapunov function of a set-valued map F associated t o Q larger than or equal to U , i.e., the smallest nonnegative lower semicontinuous solution U+ t o the contingent Hamilton-Jacobi inequalities

( 1 5 ) larger than or equal to U?

Theorem 4.4 Let us consider a nontrivial set-valued map F : X ~.t X , a continuous function Q : R+ -t R with linear growth and a proper nonnega- tive eztended function U .

- Let us assume that F is upper semicontinuous with compact conves images and linear growth. Then there ezists a smallest nonnegative lower semicontinuous solution U+ : D o m ( F ) H RU {+oo) t o the contingent Hamilton-Jacobi inequalities (15) larger than or equal t o U (which can be the constant +m), which then enjoys the property:

V z E D o m ( U 4 ) , there exists solutions t o ( 1 3 ) and ( 1 4 ) satisfying

v

t

>

0, U ( z ( t ) ) 5 U + ( s ( t ) ) 5

4 )

- If F is lipschitzean o n the interior of its domain with compact values and Q is lipschitzean, then there exists a smallest nonnegative lower

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,.,

semicontinuous solution U+ : D o m ( F ) ++ R ~ { + o o ) to the upper contingent Hamilton-Jacobi inequalities (13) larger than or equal t o U (which can be the constant +oo), which then enjoys the property:

V z E Dom(U+), all solutions t o (13) and (14) satisfy bf t

2

0, U ( x ( t ) )

I

U+(x(t))

I 4)

In particular, for +(w) := aw, we deduce t h a t

V z E Dom(Ua), U ( z ( t ) )

5

~ , ( z ~ ) e - ~ ' and thus, converges to 0 T h e proof amounts t o show that the largest closed viability domain (invariance domain) contained in the epigraph of U, called the viability kernel (invariance kernel) of E p ( U ) , which does exist under t h e assumptions of t h e first (second) part of the theorem, is actually an epigraph, and thus, t h e one of the smallest lower semicontinuous (universal) Lyapunov function.

Actually, t h e existence theorems of these kernels are equivalent to the above theorem, since it implies the following

Corollary 4 . 5 We posit the assumptions of Theorem

4.4.

- Let us assume that F is upper semicontinuous with compact convex images and linear growth.

The indicator QViab(K) of the viability kernel V i a b ( K ) of a closed subset K (i.e., the largest closed viability domain of F contained i n K) is the smallest nonnegative lower semicontinuous solution to

(18) V z E Dom(V), inf D T V v € F ( z ) (z) ( v )

<

0

larger than or equal t o QK.

- Assume that F is lipschitzean on the interior of its domain with compact values.

The indicator QInv(K) of the invariant kernel I n v ( K ) of a closed subset K (i.e., the largest closed invariance domain of F contained i n K) is the smallest nonnegative lower semicontinuous solution t o

(19) V Z E D O ~ ( V ) , sup D T V ( z ) ( v )

<

0

v ~ F ( z )

larger than or equal t o Q K .

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References

[I] AWBIN J.-P. & CELLINA A. (1984) DIFFERENTIAL I N -

CLUSIONS. Springer-Verlag (Grundlehren der Math. Wis- senschaften, Vo1.264, 1-342)

[2] AUBIN J.-P. & EKELAND I. (1984) APPLIED NONLINEAR ANALYSIS. Wiley-Interscience

[3] BARD1 M.(1988) This volume

[4] BERKOWITZ L. (1988) This volume

[5] BERNHARD P. (1979) Contribution A I'ktude des jeux diffkrentiels

A

somme nulle et information parfaite. ThGse Uni- versitd de Paris VI

[6] BERNHARD P. (1980) Ezact controllability of perturbed continuous-time linear systems. Trans. Automatic Control, 25, 89-96

[7] BERNHARD P. (1987) In Singh M. G. Ed. SYSTEMS & C O N - TROL ENCYCLOPEDIA, Pergamon Press

[8] CRANDALL M. G., & LIONS P.L., (1983) Viscosity solutions o f Hamilton-Jacobi equations

.

Trans. Amer. Math. Soc., 277, 1-42

[9] CRANDALL M.G.,

,

EVANS L.C., & LIONS P.L., (1984) Some properties of viscosity solutions of Hamilton-Jacobi equation . Trans. Amer. Math. Soc., 282(2), 487-502

[lo]

FLEMMING W. (1988)

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SOCHASTIC 0 PTIMAL CONTROL Springer-Verlag

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[13] FRANKOWSKA H. Optimal trajectories associated t o a solu- tion of contingent Hamilton-Jacobi Equation Appl. Math. Opt.

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Hamilton-Jacobi Equations:viscosity solutions and generalized gradients. J . Math .Anal. Appli.

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SUBBOTIN A. I. & USHAKOV V. N.

(1985) Derivatives for multivalued mappings with applications t o game theoretical problems of control. Problems of Control and Information Theory, Vo1.14, 155-167

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SYSTEM. Nauka, Moscow

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HAMILTON- JACOBI EQUATIONS. Pitman

1211 LIONS P. -L. & SOUGANIDIS P.E. (1985) Diflerential games, optimal control and directional derivatives of viscosity solutions of Bellman and Isaacs' equations. SIAM J . Control. Optimiza- tion, 23

122) SUBBOTIN A. 1. (1985) Conditions for optimality of a guar- anteed outcome i n game problems of control. Proceedings of the Steklov Institute of Mathematics, 167, 291-304

[23] SUBBOTIN A. I. & SUBBOTINA N. N. (1983) Diflerentiabil- ity properties of the value function of a diflerential game with integral terminal costs. Problems of Control and Information Theory, 12, 153-166

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[24] SUBBOTIN A. I. & TARASYEV A. M. (1986) Stability proper- ties of the value function of a diflerential game and viscosity so- lutions of Hamilton-Jacobi equations. Problems of Control and Information Theory, 15, 451-463

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