Differential Sensitivity in Rate Independent Problems Martin - - PowerPoint PPT Presentation

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Differential Sensitivity in Rate Independent Problems Martin - - PowerPoint PPT Presentation

Differential Sensitivity in Rate Independent Problems Martin Brokate Department of Mathematics, TU Mnchen Control of State Constrained Dynamical Systems, Padova, 25.-29.9.2017 Parabolic control problem with hysteresis Minimize Parabolic


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Differential Sensitivity in Rate Independent Problems

Martin Brokate Department of Mathematics, TU München

Control of State Constrained Dynamical Systems, Padova, 25.-29.9.2017

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Parabolic control problem with hysteresis

Minimize

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Parabolic control problem with hysteresis

Minimize not monotone

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Rate Independence

Input-output system Inputs Outputs

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Play

v w r

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Play

v w r

if (interior) if (boundary)

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Play

v w r

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Play

v w r

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Play: Derivatives ?

v w r

you expect:

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Play: Derivatives ?

v w r

Moreover: Does exist ?

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v w r

Play: Directional differentiability

v w

(accumulated maximum)

  • M. Brokate, P. Krejci, Weak differentiability of scalar hysteresis operators,

Discrete Cont. Dyn. Syst. Ser. A 35 (2015), 2405-2421

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v w

Locally, the play can be represented as a finite composition of variants of the accumulated maximum.

r

  • Play: Local description
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From maximum to play

Maximum: Accumulated maximum: (gliding maximum) Play:

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Maximum functional: Directional derivative

Directional derivative: convex, Lipschitz Directional derivative is a Hadamard derivative:

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Bouligand derivative

The directional derivative is called a Bouligand derivative if Still nonlinear w.r.t the direction h. Better approximation property than the directional derivative: Limit process is uniform w.r.t. the direction h is directionally differentiable Assume:

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Maximum functional: Bouligand derivative

is not a Bouligand derivative is a Bouligand derivative

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Newton derivative

Semismooth Newton method:

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Newton derivative (Set valued)

Semismooth Newton method:

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Maximum functional: Newton derivative

Directional derivative:

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Maximum functional: Newton derivative

is not a Newton derivative is a Newton derivative

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Proof

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Upper semicontinuity

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Upper semicontinuity

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From maximum to play

Maximum: Accumulated maximum: (gliding maximum) Play:

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Accumulated maximum

Directional derivative exists ``pointwise in time‘‘: Denote

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Accumulated maximum

The pointwise derivative is a regulated function, but discontinuous in general. Thus, is not directionally differentiable But is directionally differentiable.

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Accumulated maximum: Newton derivative

is a Newton derivative weakly measurable,

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Accumulated maximum: Usc

which is upper semicontinuous.

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Accumulated maximum: Usc

which is upper semicontinuous.

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Play: Newton derivative

  • Theorem. The play operator

is Newton differentiable. The proof uses the chain rule for Newton derivatives, and yields a recursive formula based on the successive accumulated maxima.

  • M. Brokate, Newton and Bouligand derivatives of the scalar play and stop operator,

arXiv:1607.07344, 2016

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Play: Newton derivative

Newton derivative Newton derivative is globally bounded (in particular, the bound does not depend on the local description of the play in , nor on r)

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Play: Newton derivative

Can be improved to

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Play: Bouligand derivative

  • Theorem. The play operator

is Bouligand differentiable. A refined remainder estimate holds as in the Newton case.

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Parabolic problem

Solution operator

  • M. Brokate, K. Fellner, M. Lang-Batsching, Weak differentiability of the control-to-state mapping

in a parabolic control problem with hysteresis, Preprint IGDK 1754

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Parabolic problem

Solution operator Assumptions: Then

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Parabolic problem

Theorem: (Visintin, Hilpert) Solution operator

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First order problem

Theorem: (variant of Visintin)

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Auxiliary estimates

Assume Then

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First order problem

Theorem:

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Sensitivity result

Theorem: The control-to-state mapping has a Bouligand derivative when considered as a mapping Proof: Estimates for the remainder problem

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Sensitivity result

Theorem: The control-to-state mapping has a Bouligand derivative when considered as a mapping An analogous result holds for the Newton derivative, for the special case of the accumulated maximum.

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Parabolic control problem with hysteresis

Minimize

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Optimality condition

Reduced cost functional