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Bang-bang approximation of a traveling wave: Difference between revisions

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is the traveling wave (oscillating between 0 and 1), <math>c>0</math> is a (small) regularization parameter and  
is the traveling wave (oscillating between 0 and 1), <math>c>0</math> is a (small) regularization parameter and  
<math>\bigvee_0^1 q(t)\,dt</math> denotes the variation of q(\cdot) over the interval <math>[0,1]</math>.  
<math>\bigvee_0^1 q(t)\,dt</math> denotes the variation of <math>q(\cdot)</math> over the interval <math>[0,1]</math>.  
Thereby, the solution of the transport equation has to be understood in the usual weak sense defined by the  
Thereby, the solution of the transport equation has to be understood in the usual weak sense defined by the  
characteristic equations.
characteristic equations.

Revision as of 12:47, 16 August 2010

The following problem is an academic example of a PDE constrained optimal control problem with integer control constraints and was introduced in <bibref>Hante2009</bibref>.

The control task consists of choosing the boundary value of a transport equation from the extremal values of a traveling wave such that the L2-distance between the traveling wave and the resulting flow is minimized.


Mathematical formulation

minx,q0101|x(t,s)xd(t,s)|2dsdt+c01q(t)dts.t.tx(t,s)+sx(t,s)=0,0<s<1,0<t<1x(t,0)=q(t),0<t<1x(0,s)=xd(0,s),0<s<1q(t){0,1},0<t<1

where

xd(t,s)=12sin(5π(ts))+1,0t1,0s1

is the traveling wave (oscillating between 0 and 1), c>0 is a (small) regularization parameter and 01q(t)dt denotes the variation of q() over the interval [0,1]. Thereby, the solution of the transport equation has to be understood in the usual weak sense defined by the characteristic equations.


Reference solution

For c=0.0075 the best known solution is given by

q*(t)=χ[0,0.2](t)+χ[0.4,0.6](t)+χ[0.8,1](t),0t1

where χ[a,b](t) denotes the indicator function of the interval [a,b].


References

<bibreferences/>