Optimal Control of Partial Differential Equations
Optimal Control of Partial Differential Equations Optimal Control of Partial Differential Equations
62 CHAPTER 5. CONTROL OF THE HEAT EQUATION
Chapter 6 Control of the wave equation 6.1 Introduction We first begin by problems with a distributed control. We study the wave equation via the semigroup theory with initial data in H 1 0(Ω) × L 2 (Ω) (section 6.2.1), and in L 2 (Ω) × H −1 (Ω) (section 6.2.2). These results are next used to derive optimality conditions in the case of functionals involving observations of the derivative of the state (Theorem 6.3.1). The case of Neumann boundary controls is briefly presented in section 6.4. To obtain fine regularity results in the case of Dirichlet boundary controls, we need a trace regularity result for solutions to the wave equation with homogeneous boundary conditions (Theorem 6.5.1). Equations with nonhomogeneous Dirichlet boundary conditions is studied by the transposition method (Theorem 6.6.1). We derive optimality conditions for functionals involving observations in C([0, T ]; H −1 (Ω)) (Theorem 6.6.2). The notation Ω, Γ, T , Q, Σ, as well as the assumptions on Ω and Γ, are the ones of the previous chapter. 6.2 Existence and regularity results 6.2.1 The wave equation in H 1 0(Ω) × L 2 (Ω) To study equation ∂2z ∂t2 − ∆z = f in Q, z = 0 on Σ, z(x, 0) = z0 and ∂z ∂t (x, 0) = z1 in Ω, (6.2.1) with (z0, z1) ∈ H1 0(Ω) × L2 (Ω) and f ∈ L2 (Q), we transform the equation in a first order ), equation (6.2.1) may be written in the form evolution equation. Setting y = (z, dz dt with y1 Ay = A y2 = dy dt y2 ∆y1 = Ay + F, y(0) = y0, 0 , F = f z0 , and y0 = z1 Set Y = H 1 0(Ω) × L 2 (Ω). The domain of A in Y is D(A) = (H 2 (Ω) ∩ H 1 0(Ω)) × H 1 0(Ω). 63 .
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Chapter 6<br />
<strong>Control</strong> <strong>of</strong> the wave equation<br />
6.1 Introduction<br />
We first begin by problems with a distributed control. We study the wave equation via the<br />
semigroup theory with initial data in H 1 0(Ω) × L 2 (Ω) (section 6.2.1), and in L 2 (Ω) × H −1 (Ω)<br />
(section 6.2.2). These results are next used to derive optimality conditions in the case <strong>of</strong><br />
functionals involving observations <strong>of</strong> the derivative <strong>of</strong> the state (Theorem 6.3.1). The case<br />
<strong>of</strong> Neumann boundary controls is briefly presented in section 6.4. To obtain fine regularity<br />
results in the case <strong>of</strong> Dirichlet boundary controls, we need a trace regularity result for solutions<br />
to the wave equation with homogeneous boundary conditions (Theorem 6.5.1). <strong>Equations</strong><br />
with nonhomogeneous Dirichlet boundary conditions is studied by the transposition method<br />
(Theorem 6.6.1). We derive optimality conditions for functionals involving observations in<br />
C([0, T ]; H −1 (Ω)) (Theorem 6.6.2).<br />
The notation Ω, Γ, T , Q, Σ, as well as the assumptions on Ω and Γ, are the ones <strong>of</strong> the<br />
previous chapter.<br />
6.2 Existence and regularity results<br />
6.2.1 The wave equation in H 1 0(Ω) × L 2 (Ω)<br />
To study equation<br />
∂2z ∂t2 − ∆z = f in Q, z = 0 on Σ, z(x, 0) = z0 and ∂z<br />
∂t (x, 0) = z1 in Ω, (6.2.1)<br />
with (z0, z1) ∈ H1 0(Ω) × L2 (Ω) and f ∈ L2 (Q), we transform the equation in a first order<br />
), equation (6.2.1) may be written in the form<br />
evolution equation. Setting y = (z, dz<br />
dt<br />
with<br />
<br />
y1<br />
Ay = A<br />
y2<br />
<br />
=<br />
dy<br />
dt<br />
y2<br />
∆y1<br />
= Ay + F, y(0) = y0,<br />
<br />
0<br />
, F =<br />
f<br />
<br />
<br />
z0<br />
, and y0 =<br />
z1<br />
Set Y = H 1 0(Ω) × L 2 (Ω). The domain <strong>of</strong> A in Y is D(A) = (H 2 (Ω) ∩ H 1 0(Ω)) × H 1 0(Ω).<br />
63<br />
<br />
.