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I n h ono r og Jean-Miche l Co r on o n h is 60 t h bj rthda y My - - PowerPoint PPT Presentation

Input-to-State Stability and Small-Gain Theorems for Parabolic PDEs Iasson Karafyllis and Miroslav Krstic I n h ono r og Jean-Miche l Co r on o n h is 60 t h bj rthda y My first connec:on with JMC: has contributed a paper in the special 60th


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SLIDE 1

Input-to-State Stability and Small-Gain Theorems for Parabolic PDEs

Iasson Karafyllis and Miroslav Krstic

In honor og Jean-Michel Coron on his 60th bjrthday

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SLIDE 2

Rafael Vazquez, U. de Sevilla

My first connec:on with JMC: has contributed a paper in the special 60th anniversary issue

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SLIDE 3

(almost) no backstepping today!

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SLIDE 4

I IS SS S

)) ( ), ( ( ) ( t d t x f t x

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SLIDE 5

I IS SS S

)) ( ), ( ( ) ( t d t x f t x

  • ISS: Input-to-State Stability (Sontag, 1989)
  • )

( sup , ) ( ) ( s d t x t x

t s

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SLIDE 6

I IS SS S

)) ( ), ( ( ) ( t d t x f t x

  • ISS: Input-to-State Stability (Sontag, 1989)
  • e

disturbanc condition initial

  • f

Effect

  • f

Effect s d t x t x

t s

  • )

( sup , ) ( ) (

slide-7
SLIDE 7

Papers on ISS for PDEs

Mazenc and Prieur (2011), “Strict Lyapunov functions for semilinear parabolic partial differential equations”, Mathematical Control and Related Fields. Prieur and Mazenc (2012), “ISS-Lyapunov functions for time-varying hyperbolic systems of balance laws”, Math. Control, Signals, & Syst. Bribiesca Argomedo, Witrant, and Prieur (2012), “D1-input-to-state stability of a time- varying nonhomogeneous diffusive equation subject to boundary disturbances”,

  • Am. Control Conf.

Bribiesca Argomedo, Prieur, Witrant, and Bremond (2013), “A strict control Lyapunov function for a diffusion equation with time-varying distributed coefficients”, IEEE Trans. Automatic Control, 2013. Dashkovskiy and Mironchenko (2013), “Input-to-state stability of infinite-dimensional control systems”,

  • Math. Control, Signals, & Syst.

Mironchenko and Ito (2015), “Construction of Lyapunov Functions for Interconnected Parabolic Systems: An iISS Approach”, SICON. Mironchenko (2016), “Local input-to-state stability: Characterizations and counterexamples”, Syst. &

  • Contr. Lett.
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SLIDE 8

C Ch ha al ll le en ng ge e t to

  • I

IS SS S f fo

  • r

r s sy ys st te em ms s w wi it th h u un nb bo

  • u

un nd de ed d i in np pu ut t

  • p

pe er ra at to

  • r

rs s

Bu Ax x

  • (B-unbounded)
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SLIDE 9

C Ch ha al ll le en ng ge e t to

  • I

IS SS S f fo

  • r

r s sy ys st te em ms s w wi it th h u un nb bo

  • u

un nd de ed d i in np pu ut t

  • p

pe er ra at to

  • r

rs s

Bu Ax x

  • (B-unbounded)
  • t

d Bu t A x t A t x ) ( )) ( exp( ) ( ) exp( ) (

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SLIDE 10

C Ch ha al ll le en ng ge e t to

  • I

IS SS S f fo

  • r

r s sy ys st te em ms s w wi it th h u un nb bo

  • u

un nd de ed d i in np pu ut t

  • p

pe er ra at to

  • r

rs s

Bu Ax x

  • (B-unbounded)
  • t

d Bu t A x t A t x ) ( )) ( exp( ) ( ) exp( ) (

  • Let

) exp( ) exp( t M At

  • )

( sup ) ( ) exp( ) ( s u B M x t M t x

t s

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SLIDE 11

C Ch ha al ll le en ng ge e t to

  • I

IS SS S f fo

  • r

r s sy ys st te em ms s w wi it th h u un nb bo

  • u

un nd de ed d i in np pu ut t

  • p

pe er ra at to

  • r

rs s

Bu Ax x

  • (B-unbounded)
  • t

d Bu t A x t A t x ) ( )) ( exp( ) ( ) exp( ) (

  • Let

) exp( ) exp( t M At

  • )

( sup ) ( ) exp( ) ( s u B M x t M t x

t s

  • Unbounded B (in boundary control) potentially makes ISS impossible.
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SLIDE 12

H He ea at t e eq qu ua at ti io

  • n

n w wi it th h b bo

  • u

un nd da ar ry y d di is st tu ur rb ba an nc ce es s

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SLIDE 13

H He ea at t e eq qu ua at ti io

  • n

n w wi it th h b bo

  • u

un nd da ar ry y d di is st tu ur rb ba an nc ce es s

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SLIDE 14
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SLIDE 15

H He ea at t e eq qu ua at ti io

  • n

n w wi it th h b bo

  • u

un nd da ar ry y d di is st tu ur rb ba an nc ce es s

ISS with respect to boundary disturbances? No Lyapunov functional works.

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SLIDE 16
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SLIDE 17

H He ea at t e eq qu ua at ti io

  • n

n w wi it th h b bo

  • u

un nd da ar ry y d di is st tu ur rb ba an nc ce es s

ISS with respect to boundary disturbances? No Lyapunov functional works. The transformation of boundary disturbances to distributed disturbances gives ISS with respect to boundary disturbances and their time derivatives. ) ( ) ( ) 1 ( ) , ( ) , (

1

t zd t d z z t x z t y

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SLIDE 18

Buggin’ me for about 10 years…

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SLIDE 19

O OU UT TL LI IN NE E

Heat Equation

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SLIDE 20

O OU UT TL LI IN NE E

Heat Equation Generalization

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SLIDE 21

O OU UT TL LI IN NE E

Heat Equation Generalization Quasi-static Thermoelasticity

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SLIDE 22

O OU UT TL LI IN NE E

Heat Equation Generalization Quasi-static Thermoelasticity Dynamic Output Feedback

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SLIDE 23

H He ea at t e eq qu ua at ti io

  • n

n w wi it th h b bo

  • u

un nd da ar ry y d di is st tu ur rb ba an nc ce es s

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SLIDE 24

Theorem: For every ]) 1 , ([ ] [

2

C x

  • and

) ; ( ) , (

2 1 1

  • C

d d for which the heat equation has a unique solution

]) 1 , [ ) , (( ]) 1 , [ (

1

  • C

C x with ]) 1 , ([ ] [

2

C t x

  • for all
  • t

, the following estimates hold for all

  • t

:

  • )

( max ) ( max 3 1 ) , ( exp 2 exp ) , (

1 1 2 2 2 1 2

s d s d dz z x t t dz z t x

t s t s

  • (L

L2

2

n no

  • r

rm m)

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SLIDE 25
  • )

( max , ) ( max , ) , ( max ) 2 ( exp max sin 1 ) , ( max

1 1 2 1

s d s d z x t z t x

t s t s z z

  • for all

) 2 / , (

  • (L

L∞

n no

  • r

rm m)

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SLIDE 26
  • )

( max , ) ( max , ) , ( max ) 2 ( exp max sin 1 ) , ( max

1 1 2 1

s d s d z x t z t x

t s t s z z

  • for all

) 2 / , (

  • (L

L∞

n no

  • r

rm m)

For 4 /

  • , we get
  • )

( max , ) ( max , ) , ( max 4 exp max 2 ) , ( max

1 1 2 1

s d s d z x t z t x

t s t s z z

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SLIDE 27
  • )

( max , ) ( max , ) , ( max ) 2 ( exp max sin 1 ) , ( max

1 1 2 1

s d s d z x t z t x

t s t s z z

  • for all

) 2 / , (

  • (L

L∞

n no

  • r

rm m)

For 4 /

  • , we get
  • )

( max , ) ( max , ) , ( max 4 exp max 2 ) , ( max

1 1 2 1

s d s d z x t z t x

t s t s z z

  • Corollary: For

2 /

  • , we get the maximum principle!!
  • )

( max , ) ( max , ) , ( max max ) , ( max

1 1 1

s d s d z x z t x

t s t s z z

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SLIDE 28
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SLIDE 29
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SLIDE 30

Should not be viewed as a restriction!

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SLIDE 31
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SLIDE 32

Analogous finite-dimensional case: Index-1 DAEs Example:

  • )

( , )) ( ), ( ( ) ( ) ( ) ( ) ( ) ( ) (

2 2 1 2 2 1 1

t d t x t x t x t d t x t x t x t x

  • Consistent initialization:

) ( ) (

2

d x

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SLIDE 33
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SLIDE 34
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SLIDE 35

G Ge en ne er ra al li iz za at ti io

  • n

n

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SLIDE 36

G Ge en ne er ra al li iz za at ti io

  • n

n

in-domain

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SLIDE 37
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SLIDE 38
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SLIDE 39
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SLIDE 40

ISS gains

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SLIDE 41

I IS SS S i in n L L2

2

n no

  • r

rm m

Theorem: Let (H1), (H2), (H3) hold. Then for every ]) 1 , ([ ] [

2

C x

  • ,

]) 1 , [ (

1

  • C

u and ) ], [ ( ) , (

1

u x d d

  • , the following estimate holds for all

,

  • and
  • t

:

  • )

( max ) 1 )( 1 ( ) ( max ) 1 )( 1 ( ) , ( max max 1 ~ ] [ exp 2 exp ] [

1 1 1 1 1 , 2 1 1 , 2

s d C s d C z s u C x t t t x

t s t s z t s r r

  • where

2 / 1 1 2 , 2

) , ( ) ( : ] [

  • dz

z t x z r t x

r

( ) (

  • z

r : weight function on diffusion)

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SLIDE 42

I IS SS S i in n L L2

2

n no

  • r

rm m

r n n n n

x v g v z d d g v g p C

, 2 2 2 1 2 2 2 2

~ 1 ) ( ) ( 1 ) ( :

  • where

]) 1 , ([ ~

2

C x is the solution of the BVP ) ( ~ ) ( ) ( ~ ) (

  • z

x z q z dz x d z p dz d for ] 1 , [

  • z

with

2 2

) ( ~ ) ( ~ v g dz x d v x g

  • ,

) 1 ( ~ ) 1 ( ~

1 1

  • dz

x d v x g ,

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SLIDE 43

I IS SS S i in n L L2

2

n no

  • r

rm m

r n n n n

x v g v z d d g v g p C

, 2 2 2 1 2 2 2 2

~ 1 ) ( ) ( 1 ) ( :

  • where

]) 1 , ([ ~

2

C x is the solution of the BVP ) ( ~ ) ( ) ( ~ ) (

  • z

x z q z dz x d z p dz d for ] 1 , [

  • z

with

2 2

) ( ~ ) ( ~ v g dz x d v x g

  • ,

) 1 ( ~ ) 1 ( ~

1 1

  • dz

x d v x g , Analogous for 1 C

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SLIDE 44

I IS SS S i in n L L2

2

n no

  • r

rm m

r n n n n

x v g v z d d g v g p C

, 2 2 2 1 2 2 2 2

~ 1 ) ( ) ( 1 ) ( :

  • where

]) 1 , ([ ~

2

C x is the solution of the BVP ) ( ~ ) ( ) ( ~ ) (

  • z

x z q z dz x d z p dz d for ] 1 , [

  • z

with

2 2

) ( ~ ) ( ~ v g dz x d v x g

  • ,

) 1 ( ~ ) 1 ( ~

1 1

  • dz

x d v x g , Analogous for 1 C

1 0,C

C

c ca an n b be e c co

  • m

mp pu ut te ed d w wi it th ho

  • u

ut t k kn no

  • w

wl le ed dg ge e

  • f

f e ei ig ge en nv va al lu ue es s a an nd d e ei ig ge en nf fu un nc ct ti io

  • n

ns s

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SLIDE 45

I IS SS S i in n L L2

2

n no

  • r

rm m

  • 1

2 1 2

) ( ) ( 1 : ~

n n n

dz z z r C

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SLIDE 46

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Eigenfunction expansion of solution x

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SLIDE 47

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Eigenfunction expansion of solution x Infinitely many ODEs for (gen.) Fourier coefficients

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SLIDE 48

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Eigenfunction expansion of solution x Infinitely many ODEs for (gen.) Fourier coefficients Obtain estimates for each (gen.) Fourier coefficient

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SLIDE 49

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Eigenfunction expansion of solution x Infinitely many ODEs for (gen.) Fourier coefficients Obtain estimates for each (gen.) Fourier coefficient Parseval’s identity

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SLIDE 50

(existence of a posi:ve eigenfunc:on for the Sturm-Liouville operator)

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SLIDE 51
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SLIDE 52
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SLIDE 53

I IS SS S i in n L L∞

n no

  • r

rm m

Theorem: Let (H1)-(H4) hold. Then for every ]) 1 , ([ ] [

2

C x

  • ,

]) 1 , [ (

1

  • C

u and ) ], [ ( ) , (

1

u x d d

  • , the following estimate holds for all
  • t

:

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SLIDE 54

I IS SS S i in n L L∞

n no

  • r

rm m

Theorem: Let (H1)-(H4) hold. Then for every ]) 1 , ([ ] [

2

C x

  • ,

]) 1 , [ (

1

  • C

u and ) ], [ ( ) , (

1

u x d d

  • , the following estimate holds for all
  • t

:

  • )

( ) , ( max max ) 1 ( ) 1 ( ) ( max , ) ( ) ( ) ( max , ] [ exp max ] [

1 1 1 1 1 , ,

z z s u v g s d v g s d x t t x

z t s t s t s

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SLIDE 55

I IS SS S i in n L L∞

n no

  • r

rm m

Theorem: Let (H1)-(H4) hold. Then for every ]) 1 , ([ ] [

2

C x

  • ,

]) 1 , [ (

1

  • C

u and ) ], [ ( ) , (

1

u x d d

  • , the following estimate holds for all
  • t

:

  • )

( ) , ( max max ) 1 ( ) 1 ( ) ( max , ) ( ) ( ) ( max , ] [ exp max ] [

1 1 1 1 1 , ,

z z s u v g s d v g s d x t t x

z t s t s t s

  • where

) ( ) , ( max : ] [

1 ,

z z t x t x

z

  • .
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SLIDE 56

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Finite-difference discretization on uniform grid: ) , ( ) ( z i t x t xi

  • ,

) , ( ) ( z i t u t ui

  • ,

N i ,...,

  • with

1

  • N

z

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SLIDE 57

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Finite-difference discretization on uniform grid: ) , ( ) ( z i t x t xi

  • ,

) , ( ) ( z i t u t ui

  • ,

N i ,...,

  • with

1

  • N

z

  • )

( ) ( ) ( ) (

, ,

error t d B t x A t t x

N N

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SLIDE 58

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Finite-difference discretization on uniform grid: ) , ( ) ( z i t x t xi

  • ,

) , ( ) ( z i t u t ui

  • ,

N i ,...,

  • with

1

  • N

z

  • )

( ) ( ) ( ) (

, ,

error t d B t x A t t x

N N

  • Parameterized family of uncertain linear discrete-time systems

(with parameters N ,

  • ,

2

) /( z t

  • ).
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SLIDE 59

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Finite-difference discretization on uniform grid: ) , ( ) ( z i t x t xi

  • ,

) , ( ) ( z i t u t ui

  • ,

N i ,...,

  • with

1

  • N

z

  • )

( ) ( ) ( ) (

, ,

error t d B t x A t t x

N N

  • Parameterized family of uncertain linear discrete-time systems

(with parameters N ,

  • ,

2

) /( z t

  • ).

ISS Lyapunov function:

  • )

( ) , ( max : ) (

1 ,..., 1

z i z i t x t V

N i N

  • Lyapunov analysis with V(t+dt)-V(t) but for con:nuous t.

Component-wise es:mates, exploi:ng proper:es of heat eqn, lead to max-norm es:mate.

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SLIDE 60

S Sk ke et tc ch h

  • f

f p pr ro

  • f

f

Finite-difference discretization on uniform grid: ) , ( ) ( z i t x t xi

  • ,

) , ( ) ( z i t u t ui

  • ,

N i ,...,

  • with

1

  • N

z

  • )

( ) ( ) ( ) (

, ,

error t d B t x A t t x

N N

  • Parameterized family of uncertain linear discrete-time systems

(with parameters N ,

  • ,

2

) /( z t

  • ).

ISS Lyapunov function:

  • )

( ) , ( max : ) (

1 ,..., 1

z i z i t x t V

N i N

  • Finally, we use estimates of (error) and obtain the required estimate.
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SLIDE 61

1 1-

  • D

D q qu ua as si i-

  • s

st ta at ti ic c t th he er rm mo

  • e

el la as st ti ic ci it ty y

) , ( ) , (

2 2

z t z x a z t t x

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SLIDE 62

1 1-

  • D

D q qu ua as si i-

  • s

st ta at ti ic c t th he er rm mo

  • e

el la as st ti ic ci it ty y

) , ( ) , (

2 2

z t z x a z t t x

  • BCs
  • 1

) , ( ) ( ) , ( dz z t x z g t x ,

  • 1

1

) , ( ) ( ) 1 , ( dz z t x z g t x

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SLIDE 63

1 1-

  • D

D q qu ua as si i-

  • s

st ta at ti ic c t th he er rm mo

  • e

el la as st ti ic ci it ty y

) , ( ) , (

2 2

z t z x a z t t x

  • BCs
  • 1

) , ( ) ( ) , ( dz z t x z g t x ,

  • 1

1

) , ( ) ( ) 1 , ( dz z t x z g t x

  • x

entropy

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SLIDE 64

1 1-

  • D

D q qu ua as si i-

  • s

st ta at ti ic c t th he er rm mo

  • e

el la as st ti ic ci it ty y

) , ( ) , (

2 2

z t z x a z t t x

  • BCs
  • 1

) , ( ) ( ) , ( dz z t x z g t x ,

  • 1

1

) , ( ) ( ) 1 , ( dz z t x z g t x

  • x

entropy Model derived by singular perturbation of (modified) Euler-Bernoulli beam eqn. (with thermal expansion), solution in space for displacement in terms of temperature, and linear combination of temperature and stress to form entropy.

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SLIDE 65

F Fe ee ed db ba ac ck k C Co

  • n

nf fi ig gu ur ra at ti io

  • n

n

familiar picture:

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SLIDE 66

F Fe ee ed db ba ac ck k C Co

  • n

nf fi ig gu ur ra at ti io

  • n

n

familiar picture:

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SLIDE 67

F Fe ee ed db ba ac ck k C Co

  • n

nf fi ig gu ur ra at ti io

  • n

n

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SLIDE 68

F Fe ee ed db ba ac ck k C Co

  • n

nf fi ig gu ur ra at ti io

  • n

n

two feedback loops!

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SLIDE 69

Gains of static maps ) ( ] [ t d t x

i

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SLIDE 70

Gains of static maps ) ( ] [ t d t x

i

  • 1

2 1 2 1 1 2 2

) ( ] [ ) ( ) ( ] [ ) ( dz z g t x t d dz z g t x t d

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SLIDE 71

Gains of static maps ) ( ] [ t d t x

i

  • 1

2 1 2 1 1 2 2

) ( ] [ ) ( ) ( ] [ ) ( dz z g t x t d dz z g t x t d

  • r
  • 1

1 1 1

) ( ] [ ) ( ) ( ] [ ) ( dz z g t x t d dz z g t x t d

slide-72
SLIDE 72

Recall ISS properties:

  • )

( max ) ( max 3 1 ] [ exp 2 exp ] [

1 2 2 2 2

s d s d x t a t a t x

t s t s

  • ,
slide-73
SLIDE 73

Recall ISS properties:

  • )

( max ) ( max 3 1 ] [ exp 2 exp ] [

1 2 2 2 2

s d s d x t a t a t x

t s t s

  • ,
  • r
  • )

( max , ) ( max , ] [ 4 exp max 2 ] [

1 2

s d s d x t a t x

t s t s

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SLIDE 74

L L2

2

l lo

  • p

p

(block diagram in terms of es:mates, not signals)

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SLIDE 75

L L∞

l lo

  • p

p

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SLIDE 76

S St ta ab bi il li it ty y i in n L L2

2

b by y S Sm ma al ll l-

  • G

Ga ai in n A Ar rg gu um me en nt t

Theorem: Suppose that

3 ) ( ) (

2 / 1 1 2 1 2 / 1 1 2

  • dz

z g dz z g

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SLIDE 77

S St ta ab bi il li it ty y i in n L L2

2

b by y S Sm ma al ll l-

  • G

Ga ai in n A Ar rg gu um me en nt t

Theorem: Suppose that

3 ) ( ) (

2 / 1 1 2 1 2 / 1 1 2

  • dz

z g dz z g

Then there exist constants ,

  • M

such that for every allowable ] [ x the following estimate holds for all

  • t

:

  • 2

2

] [ exp ] [ x t M t x

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SLIDE 78

S St ta ab bi il li it ty y i in n L L∞

b by y S Sm ma al ll l-

  • G

Ga ai in n A Ar rg gu um me en nt t

Theorem: Suppose that 2 2 ) (

1

  • dz

z g and 2 2 ) (

1 1

  • dz

z g

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SLIDE 79

S St ta ab bi il li it ty y i in n L L∞

b by y S Sm ma al ll l-

  • G

Ga ai in n A Ar rg gu um me en nt t

Theorem: Suppose that 2 2 ) (

1

  • dz

z g and 2 2 ) (

1 1

  • dz

z g Then there exist constants ,

  • M

such that for every allowable ] [ x the following estimate holds for all

  • t

:

  • ]

[ exp ] [ x t M t x

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SLIDE 80

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

) , ( ) , ( ) , (

2 2

z t x z t z x a z t t x

  • )

, ( ) , ( t x q t z x

  • ,

) ( ) 1 , ( t u t x

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SLIDE 81

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

) , ( ) , ( ) , (

2 2

z t x z t z x a z t t x

  • )

, ( ) , ( t x q t z x

  • ,

) ( ) 1 , ( t u t x

  • Measurement:

) , ( ) ( t x t y

  • (first result on output-Ak stabiliza:on in L-inf norm)
slide-82
SLIDE 82
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SLIDE 83
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SLIDE 84
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SLIDE 85
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SLIDE 86

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

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SLIDE 87

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

  • ]

[ ] [

  • t

Me t

slide-88
SLIDE 88

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

  • ]

[ ] [

  • t

Me t

  • ]

[ max ] [ ˆ ] [ ˆ s X e R t X

t s t

slide-89
SLIDE 89

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

  • ]

[ ] [

  • t

Me t

  • ]

[ max ] [ ˆ ] [ ˆ s X e R t X

t s t

  • Then

,

  • s.t.
slide-90
SLIDE 90

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

  • ]

[ ] [

  • t

Me t

  • ]

[ max ] [ ˆ ] [ ˆ s X e R t X

t s t

  • Then

,

  • s.t.
  • ]

[ ] [ ˆ ] [ ] [ ˆ

  • X

e t t X

t

(exponential stability in L∞ norm for the overall system)

slide-91
SLIDE 91

C Ca as sc ca ad de e S Sy ys st te em m A Ap pp pl li ic ca at ti io

  • n

n

  • ]

[ ] [

  • t

Me t

  • ]

[ max ] [ ˆ ] [ ˆ s X e R t X

t s t

  • Then

,

  • s.t.
  • ]

[ ] [ ˆ ] [ ] [ ˆ

  • X

e t t X

t

(exponential stability in L∞ norm for the overall system) Then ˆ

  • s.t.
  • ]

[ ] [ ˆ ] [ ] [ e x e t e t x

t

  • (output-Ak stabiliza:on in L-inf norm)
slide-92
SLIDE 92

More to do: Lp ISS estimates for

  • p

1 ( 1

  • p

results available),

slide-93
SLIDE 93

More to do: Lp ISS estimates for

  • p

1 ( 1

  • p

results available), ISS estimates from generalized ISS Lyapunov functionals,

slide-94
SLIDE 94

More to do: Lp ISS estimates for

  • p

1 ( 1

  • p

results available), ISS estimates from generalized ISS Lyapunov functionals, Stability study for interconnected parabolic systems.

slide-95
SLIDE 95
slide-96
SLIDE 96

BON ANNIVERSAIRE, JEAN-MICHEL!