Abstract
Both internal and boundary feedback exponential stabilization to trajectories for semilinear parabolic equations in a given bounded domain are addressed. The values of the controls are linear combinations of a finite number of actuators which are supported in a small region. A condition on the family of actuators is given which guarantees the local stabilizability of the control system. It is shown that a linearization-based Riccati feedback stabilizing controller can be constructed. The results of numerical simulations are presented and discussed.
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Acknowledgements
The authors acknowledge the support from the Austrian Science Fund (FWF): P 26034-N25. D. Phan thanks RICAM-OeAW, Linz, where most of the work has been done, for the provided support and hospitality. The authors are also grateful to the anonymous referees for their constructive comments and suggestions, which have helped the authors to improve the exposition and the presentation of the results in the paper.
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Appendix
Appendix
1.1 Proof of Lemma 2.2
Observe that given z solving (22), with \(\gamma =0\), by rescaling time \(t=\frac{\tau }{\nu }\) and defining \(\breve{z}(\tau )=z(\frac{\tau }{\nu })\), \(\breve{a}(\tau )={\hat{a}}(\frac{\tau }{\nu })\), \(\breve{b}(\tau )={\hat{b}}(\frac{\tau }{\nu })\), and \(\breve{h}(\tau )=h(\frac{\tau }{\nu })\), we find
Then, by standard arguments, we can find
with \(C_1:=\left( 1+3C^2\left| \textstyle \frac{\breve{a}}{\nu }\right| _{L^\infty (\nu I,L^d)}^2 +3C^2\left| \textstyle \frac{\breve{b}}{\nu }\right| _{L_w^\infty (\nu I,L^\infty )}^2\right) \). Therefore,
which imply the statement of Lemma 2.2. \(\square \)
1.2 Proof of Proposition 2.1
We construct an extension for \({\hat{b}}={\hat{b}}(t,x)\) independent of t. We consider a different local system of space coordinates w, in order to flatten the boundary. We use some basic concepts from Riemannian manifolds, see [44, chapter 1, Section 13 and chapter 2, Section 2].
Change of coordinates. Up to a translation and rotation, we may suppose that locally the boundary \(\varGamma =\partial \varOmega \) is the graph of a smooth function \(\varLambda \), with \(\overline{w}:=(w_1,w_2,\ldots ,w_{d-1})\),
with (small) \(r>0\). Locally, a tubular neighborhood is given by
with (small) \(l>0\). Where \(\mathbf {n}_{G_\varLambda (\overline{w})}\) stands for the unit outward normal vector at \(G_\varLambda (\overline{w})\in \varGamma \).
Let us denote \(\mathcal {O}^-={\mathbb {D}}_r^{d-1}\times (-l,0)\) and \(\mathcal {O}^+={\mathbb {D}}_r^{d-1}\times (0,l)\). Notice that the points outside \(\varOmega \) correspond to those in \(\mathcal {O}^+\). We may suppose that \(x_0=(0,G_\varLambda (0))\in \varGamma _{1}\subseteq \varGamma \textstyle \bigcap \mathcal {T}\), that is, in Proposition 2.1 we may take \({\widetilde{\omega }}\) corresponding to a subset of \(\mathcal {O}^+\).
The new coordinates \((w_1,w_2,\ldots ,w_d)\) induce the vector fields
defined in \(\mathcal {O}:={\mathbb {D}}_r^{d-1}\times (-l,l)\). We can see the neighborhood \(\mathcal {T}\) (endowed with the usual Euclidean scalar product) as the Riemannian manifold \((\mathcal {O},g)\) by taking the metric tensor
where \(\left( \cdot ,\cdot \right) _{{\mathbb {R}}^d}\) stands for the usual Euclidean scalar product in \({\mathbb {R}}^d\).
The divergence of a vector field \(V=\sum \limits _{i=1}^{d}V_i\textstyle \frac{\partial }{\partial _{w_i}}\) reads, in the new coordinates,
where \({\bar{g}}:=\det [g_{ij}]\) stands for the determinant of the matrix whose entries are the coefficients of the metric tensor. Recall that in our setting \(\sqrt{{\bar{g}}}\) coincides with the Jacobian \(\left| \det \left[ {\frac{\partial x}{\partial w}}\right] \right| \) of the smooth diffeomorphism \(w\mapsto x\), because
where \(\left[ {\frac{\partial x}{\partial w}}\right] ^\top \) is the transpose matrix of \(\left[ {\frac{\partial x}{\partial w}}\right] \).
The extension. For a given vector field \(V^-=\sum \limits _{i=1}^{d}V_i^-\textstyle \frac{\partial }{\partial _{w_i}}\), defined in \(\mathcal {O}^-\), we consider the following vector field defined in \(\mathcal {O}^+\):
where \(s\in (0,l)\) and
Then, denoting the mapping \(\sigma :\mathcal {O}^+\rightarrow \mathcal {O}^-\), \((\overline{w},s)\mapsto (\overline{w},-s)\), we find
which gives us
For \(S\subseteq \mathcal {O}\), let us denote \(\mathcal {W}_{2}(S):=\{v\in L^\infty (S,{\mathbb {R}}^d)\mid (\nabla _w\cdot v)\in L^r_g(S,{\mathbb {R}})\}\), with \(r\in \{2,\infty \}\) (cf. (29)). In particular, since \(\mathcal {Q}(w)\) is a smooth function, we observe that \(V^+\in \mathcal {W}_{2}(\mathcal {O}^+)\) if \(V^-\in \mathcal {W}_{2}(\mathcal {O}^-)\). Here, \((f,h)_{L^2_g(S,{\mathbb {R}})}:=\int _S fh\, \mathrm {d}\mathcal {O}\), \(\mathrm {d}\mathcal {O}:=\sqrt{{\bar{g}}}\mathrm {d}w_1\wedge \mathrm {d}w_2\wedge \cdots \wedge \mathrm {d}w_d\). It is also clear that the linear mapping \(V^-\mapsto V^+\) is continuous. Finally, we prove that the function defined by
maps \(\mathcal {W}_{2}(\mathcal {O}^-)\) into \(\mathcal {W}_{2}(\mathcal {O})\). We need to prove that \(\nabla _w\cdot \overline{V}\in L^2_g(\mathcal {O},{\mathbb {R}})\). For a smooth function \(\phi \in \mathcal {D}(\mathcal {O}):=C_\mathrm{c}^\infty (\mathcal {O},{\mathbb {R}})\) with support contained in \(\mathcal {O}\) we find, in the distribution sense, with \(\varGamma _0:=\{w\in \mathcal {O}\mid w_d=0\}\),
Notice that \(\textstyle \frac{\partial }{\partial _{w_d}}\) is the unit outward normal at \(\varGamma _0\subset \partial \mathcal {O}^-\).
Now, since \(g\left( V^-,\textstyle \frac{\partial }{\partial _{w_d}}\right) -g\left( V^+,\textstyle \frac{\partial }{\partial _{w_d}}\right) =V^-_d-V^+_d\), from \(V^+_d(\overline{w},s)=\mathcal {Q}(w)V^-_d(\overline{w},-s)\) for all \(s>0\) and \(\mathcal {Q}(\overline{w},0)=1\), we can conclude that \(V^-_d-V^+_d\) necessarily vanishes at \(\varGamma _0\). Hence, the boundary term vanishes, and we can conclude that \(\nabla _w\cdot V\in L^2_g(\mathcal {O},{\mathbb {R}})\). We may write
Therefore, if in addition we have \(\nabla _w\cdot V^-\in L^\infty _g(\mathcal {O}^-,{\mathbb {R}})\) then from (A.4) it follows that \(\nabla _w\cdot \overline{V}\in L^\infty _g(\mathcal {O},{\mathbb {R}})\).
It is also clear that the mapping \(V^-\mapsto \overline{V}\) maps \(\mathcal {W}_{2}(\mathcal {O}^-)\) into \(\mathcal {W}_{2}(\mathcal {O})\) continuously.
In the original coordinates, the extension above reads: given \({\hat{b}}={\hat{b}}_i\frac{\partial }{\partial _{x_i}}\), we firstly rewrite \({\hat{b}}\) in the new coordinates \({\hat{b}}={\hat{b}}_i^w\frac{\partial }{\partial _{w_i}}=:V^-\), next we extend \(V^-\) to \(\overline{V}=\overline{V}_i\frac{\partial }{\partial _{w_i}}\) (through \(V^+\) as above), finally we rewrite \(\overline{V}\) in the original coordinates: \(\overline{V}=\overline{V}_i^o\frac{\partial }{\partial _{x_i}}=:\bar{b}\).
The continuity of \(({\tilde{a}},{\tilde{b}})\mapsto ({\tilde{a}},\overline{b})\) from \(\mathcal {W}_\mathrm{st}\) into \({\widetilde{\mathcal {W}}}_\mathrm{st}\) follows straightforwardly. \(\square \)
Remark A.2
In [40, Proposition 4.2] we find, for \(d=3\), the result we present here in Proposition 2.1. Our proof borrows the idea from [40, Appendix]. We still present the proof in here because in [40], when computing the vector fields \(\frac{\partial }{\partial _{w_i}}\) for \(i=1,2,\ldots ,d-1\), as in (A.2) above, the terms \(w_d\frac{\partial (\mathbf {n}_{G_{\varLambda (\overline{w})}})_j}{\partial _{w_i}}\frac{\partial }{\partial _{x_j}}\) have been missed, see [40, Eq. (A.2)].
1.3 Proof of Proposition 2.2
From [33, chapter 4, Section 2.5, Theorem 2.3] we know that \(u\mapsto (u_0,u|_\varGamma )\), maps the space \(W({\mathbb {R}}_0,H^2(\varOmega ,{\mathbb {R}}),L^2(\varOmega ,{\mathbb {R}}))\) continuously onto the product space
In particular, this implies that \(G^2(J,\varGamma ) = L^2(J,H^\frac{3}{2}(\varGamma ,{\mathbb {R}}))\bigcap H^\frac{3}{4}(J,L^2(\varGamma ,{\mathbb {R}}))\).
From the discussion in Remark 2.3, it follows that \((\vartheta \cdot )\in \mathcal {L}(G^2(J,\varGamma ))\). It is also not difficult to check that
Indeed, we may suppose, without loss of generality, that the family of functions \(\varPsi _i\) is orthonormal in \(L^2(\varGamma ,{\mathbb {R}})\), and in that case, for a Hilbert space ,
Now, from \({\vartheta {P}}_M\vartheta \in \mathcal {L}(L^2(J,L^2(\varGamma ,{\mathbb {R}})))\textstyle \bigcap \mathcal {L}(H^1(J,L^2(\varGamma ,{\mathbb {R}})))\), by an interpolation argument, it follows that \({\vartheta {P}}_M\vartheta \in \mathcal {L}(H^\frac{3}{4}(J,L^2(\varGamma ,{\mathbb {R}})))\). See [32, chapter 1, Section 5.1] and [33, chapter 4, Section 2.1]. Finally, \({\vartheta {P}}_M\vartheta \in \mathcal {L}(L^2(J,H^\frac{3}{2}(\varGamma ,{\mathbb {R}})))\textstyle \bigcap \mathcal {L}(H^\frac{3}{4}(J,L^2(\varGamma ,{\mathbb {R}})))\) implies, by Proposition 2.3, that \({\vartheta {P}}_M\vartheta \in \mathcal {L}(G^2(J,\varGamma ))\).
Finally, we prove that \(\vartheta Q_{{\widetilde{M}}}P_M\vartheta \in \mathcal {L}(G^2(J,\varGamma ))\). Since \({\vartheta {P}}_M\vartheta \in \mathcal {L}(G^2(J,\varGamma ))\), it is enough to prove that \(Q_{{\widetilde{M}}}\in \mathcal {L}({\vartheta {P}}_M\vartheta G^2(J,\varGamma ), G^2(J,\varGamma ))\). Notice that
and \(P_MH^\frac{3}{2}(\varGamma )=\mathcal {S}_\varPsi =P_ML^2(\varGamma )\). Since the space \(\mathcal {S}_\varPsi =\mathrm{span}\{\varPsi _i\mid i\in \{1,2,\ldots ,M\}\}\) is finite-dimensional, it remains to observe that \(Q_{{\widetilde{M}}}\in \mathcal {L}\left( L^2(J ,{\mathbb {R}}^M)\textstyle \bigcap H^{\frac{3}{4}}(J ,{\mathbb {R}}^M)\right) \), which follows from \(Q_{{\widetilde{M}}}\in \mathcal {L}\bigl (L^2(J ,{\mathbb {R}})\bigr )\textstyle \bigcap \mathcal {L}\bigl (H^{\frac{3}{4}}(J ,{\mathbb {R}})\bigr )\). Finally, observe that looking at \(H^{\frac{3}{4}}(J ,{\mathbb {R}})=:H^{\frac{3}{4}}_\mathrm{f}(J ,{\mathbb {R}})\) as the domain of \((-\varDelta _{J }+1)^\frac{3}{8}\) (cf. proof of Lemma 2.8) we find the identities \(\left| Q_{{\widetilde{M}}}\right| _{\mathcal {L}\bigl (L^2(J ,{\mathbb {R}})\bigr )}^2=1 =\left| Q_{{\widetilde{M}}}\right| _{\mathcal {L}\bigl (H^{\frac{3}{4}}_\mathrm{f}(J ,{\mathbb {R}})\bigr )}^2\). \(\square \)
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Phan, D., Rodrigues, S.S. Stabilization to trajectories for parabolic equations. Math. Control Signals Syst. 30, 11 (2018). https://doi.org/10.1007/s00498-018-0218-0
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DOI: https://doi.org/10.1007/s00498-018-0218-0