Abstract
The estimation of the full state of a nonautonomous semilinear parabolic equation is achieved by a Luenberger-type dynamical observer. The estimation is derived from an output given by a finite number of average measurements of the state on small regions. The state estimate given by the observer converges exponentially to the real state, as time increases. The result is semiglobal in the sense that the error dynamics can be made stable for an arbitrary given initial condition, provided a large enough number of measurements, depending on the norm of the initial condition, are taken. The output injection operator is explicit and involves a suitable oblique projection. The results of numerical simulations are presented showing the exponential stability of the error dynamics.
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Acknowledgements
The author thanks the anonymous Referees for their comments and suggestions, which led to an improvement of the exposition in the manuscript. The author is supported by ERC advanced Grant 668998 (OCLOC) under the EU’s H2020 research program. The author acknowledges partial support from the Austrian Science Fund (FWF): P 33432-NBL.
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Appendix
Appendix
1.1 Proof of Proposition 3.7
With \({{\widehat{y}}}_1{:=}y+z_1\) and \({\widehat{y}}_2{:=}y+z_2\), we write
which leads us to \({{\widehat{y}}}_1-{{\widehat{y}}}_2=z_1-z_2{=:}d\) and, using Lemma 3.4,
Therefore, (3.5) follows with \(\widetilde{C}_{{{\mathfrak {N}}}1}={{\overline{C}}}_{{{\mathcal {N}}}1}= {{\overline{C}}}_{\left[ n,\frac{1}{1-\Vert \delta _{2}\Vert },C_{{\mathcal {N}}}\right] }\).
By setting \(z_2=0\) in (3.5), we obtain for each \({{\widetilde{\gamma }}}_0>0\),
Now, for simplicity we fix j, and set
Note that \(p\ge 0\) and \(q\in [0,2)\) due to the relations \(\delta _{1j}+\delta _{2j} =1\) and \(\zeta _{2j}+\delta _{2j}<1\), in Assumption 2.4.
We consider first the case \(q\ne 0\). By the triangle inequality and Phan and Rodrigues (2017, Prop. 2.6), we obtain
Setting \(D_{p,q}{:=}(1+2^{p-1})(1+2^{q-1})\) and using the Young inequality, the last term satisfies for each \(\gamma _2>0\),
which implies, since \(1-\frac{q}{2}=\frac{2-q}{2}\),
with
and then
Observe that
and that \(\frac{2c}{2-q}\ge c\Longleftrightarrow 0\ge -qc\). Thus, we obtain that \(\frac{2c}{2-q}\ge c\) for all \(c\ge 0\), and hence,
which together with (A.3) give us
which implies
For the first term on the right-hand side of (A.2), we also obtain
because \(p\le \frac{2p}{2-q}\le \chi _1\) and \(0<q\le \chi _2\); see (A.4).
Therefore, by (A.2), (A.5), and (A.6), it follows that for all \(\gamma _2\in (0,1]\),
Note that \( \gamma _2^\frac{2}{q}\le \gamma _2^\frac{2}{\chi _2}\) because \(\gamma _2\le 1\) and \(0<q\le \chi _2\).
Finally, we consider the case \(q=0\). We find
with \(\chi _1\) and \(\chi _3\) as in (A.5), where we have used (A.4).
Now, we observe that
and, since \(0<\frac{2}{2-q}\le \left\| \frac{\delta _1}{\delta _1-\zeta _2}\right\| _{}\),
Further, from \({{\widetilde{D}}}_{2}>64{{\widetilde{D}}}_{1} \ge 8\left( 1+2^{p-1}\right) \) and from (A.7), (A.8), and (A.9), we conclude that for both cases, \(q>0\) and \(q=0\), we have
Now, from (A.1) and (A.10), for all \({{\widetilde{\gamma }}}_0>0\) and \(\gamma _2\in (0,1]\), and with
we derive that
For an arbitrary \({{\widehat{\gamma }}}_0>0\), we can choose
and \({{\widetilde{\gamma }}}_0=\frac{{{\widehat{\gamma }}}_0}{n+1}\). Note that, in particular,
and thus for the coefficient of \(\left| z_1\right| _{D(A)}^{2}\) in (A.11), we find
Observe, next, that
and
with
Since \({{\widehat{C}}}_1\ge 2\) holds for \(\chi _2\ge 0\) we can write
Further, we see that
and
from which we obtain
with
Therefore, (A.13) and (A.14) lead us to
with, recalling that \(\chi _2\), \(\chi _4\), and \(\chi _5\) are nonnegative,
Hence, (A.11), (A.12), and (A.15) give us
with \({{\widetilde{C}}}_{{{\mathfrak {N}}}2}{:=}n{{\widetilde{D}}}_{2}{\widehat{C}}_5{{\widetilde{C}}}_{{{\mathfrak {N}}}1} ={{\overline{C}}}_{\left[ n,C_{{{\mathcal {N}}}},\left\| \zeta _{1}\right\| _{}, \left\| \zeta _{2}\right\| _{}, \left\| \frac{1}{\delta _1}\right\| _{}, \left\| \frac{\delta _1}{\delta _1-\zeta _2}\right\| _{}, \left\| \frac{\zeta _1+\zeta _2}{\delta _1-\zeta _2}\right\| _{}, \frac{1}{1-\left\| \delta _{2}\right\| _{}}\right] }\). This ends the proof of Proposition 3.7. \(\square \)
1.2 Proof of Proposition 3.8
Recall that , for \(\xi \ge 0\), and \(H={{\widetilde{{{\mathcal {W}}}}}}_{S}\oplus {{\mathcal {W}}}_{S}^\perp \). We prove firstly that \({{\widetilde{{{\mathcal {W}}}}}}_{S}\) and \({{\mathcal {W}}}_{S}^\perp \cap D(A^\xi )\) are closed subspaces of \(D(A^\xi )\). Clearly, \({{\widetilde{{{\mathcal {W}}}}}}_{S}\) is closed, because it is finite-dimensional. Let now \((h_n)_{n\in {\mathbb {N}}_0}\) be an arbitrary sequence in \({{\mathcal {W}}}_{S}^\perp \cap D(A^\xi )\) and a vector \({{\overline{h}}}\in D(A^\xi )\), so that \(\left| h_n-{{\overline{h}}}\right| _{D(A^\xi )}\rightarrow 0\), as \(n\rightarrow +\infty \). Since \(\left| h_n-{{\overline{h}}}\right| _{H}\le C\left| h_n-{{\overline{h}}}\right| _{D(A^\xi )}\), for a suitable constant \(C>0\), it follows that \(\left| h_n-{{\overline{h}}}\right| _{H}\rightarrow 0\), and since \({{\mathcal {W}}}_{S}^\perp \) is closed in H, it follows that \({{\overline{h}}}\in {{\mathcal {W}}}_{S}^\perp \). Thus, \({{\overline{h}}}\in {{\mathcal {W}}}_{S}^\perp \cap D(A^\xi )\), and we can conclude that \({{\mathcal {W}}}_{S}^\perp \cap D(A^\xi )\) is a closed subspace of \( D(A^\xi )\). Next, we observe that \(D(A^\xi )={{\widetilde{{{\mathcal {W}}}}}}_{S}\oplus ({{\mathcal {W}}}_{S}^\perp \cap D(A^\xi ))\), which is a straightforward consequence of \(H={{\widetilde{{{\mathcal {W}}}}}}_{S}\oplus {{\mathcal {W}}}_{S}^\perp \). To show that the oblique projection \(P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp \cap D(A^\xi )}\) in \(D(A^\xi )\) coincides with the restriction \(\left. P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp }\right| _{D(A^\xi )}\) of the oblique projection \(P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp }\) in H, it is enough to observe that by definition of a projection we have that
Finally, we have \(P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp \cap D(A^\xi )}\in {{\mathcal {L}}}(D(A^\xi ))\) because (oblique) projections are continuous; see Brezis (2011, Sect. 2.4, Thm. 2.10). \(\square \)
1.3 Proof of Proposition 3.9
It is clear that \(P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp }\Bigr |^{D(A^{-\xi })}\) is an extension of the oblique projection \(P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp }\in {{\mathcal {L}}}(H)\) to \(D(A^{-\xi })\supseteq H\), because for \(z\in H\) we have that \(\left\langle P_{{{\mathcal {W}}}_{S}}^{{{\widetilde{{{\mathcal {W}}}}}}_{S}^\perp }\Bigr |^{D(A^{-\xi })} z,w\right\rangle _{D(A^{-\xi }),D(A^{\xi })}= (z,{{\mathcal {P}}}_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp }w)_{H} =(P_{{{\mathcal {W}}}_{S}}^{{{\widetilde{{{\mathcal {W}}}}}}_{S}^\perp }z,w)_{H}\), where for the last identity we have used Lemma 3.5. By relation (3.9) and Proposition 3.8, the inequalities \(\left| P_{{{\mathcal {W}}}_{S}}^{{{\widetilde{{{\mathcal {W}}}}}}_{S}^\perp }\Bigr |^{D(A^{-\xi })}\right| _{{{\mathcal {L}}}(D(A^{-\xi }))} \le \left| P_{{{\widetilde{{{\mathcal {W}}}}}}_{S}}^{{{\mathcal {W}}}_{S}^\perp }\Bigr |_{D(A^{\xi })}\right| _{{{\mathcal {L}}}(D(A^{\xi }))}<+\infty \) follow. Afterward, the same relation (3.9) gives us the converse inequality. Hence, we obtain the stated norm identity. Finally, by definition of the adjoint operator we also have the stated adjoint identity. \(\square \)
1.4 Proof of Proposition 3.10
Since \({{\mathfrak {s}}}\in (0,1)\), we have that \(g(\tau ){:=}-\eta _1\tau +\eta _2\tau ^{{\mathfrak {s}}}\) satisfies \(g(0)=0\), \(\lim \limits _{\tau \rightarrow +\infty }g(\tau )=-\infty \), and \(\frac{\mathrm d}{\mathrm d\tau }\left. \right| _{\tau =\tau _0}g(\tau )=-\eta _1+{{\mathfrak {s}}}\eta _2\tau _0^{{{\mathfrak {s}}}-1} \), for \(\tau _0>0\). In particular, g is differentiable at each \(\tau _0>0\). Furthermore,
Thus, \(g(\tau )\) strictly increases if \(\tau \in (0,{{\overline{\tau }}})\) with \({{\overline{\tau }}}{:=}({{\mathfrak {s}}}\eta _2)^\frac{1}{1-{{\mathfrak {s}}}}\eta _1^{-\frac{1}{1-{{\mathfrak {s}}}}} =({{\mathfrak {s}}}\eta _2)^\frac{1}{1-{{\mathfrak {s}}}}\eta _1^{\frac{1}{{{\mathfrak {s}}}-1}}\). Analogously, we find that \(\frac{\mathrm d}{\mathrm d\tau }\left. \right| _{\tau =\tau _0}g(\tau ) < 0\Longleftrightarrow \tau _0>{{\overline{\tau }}}\). Necessarily, the maximum is attained at \({{\overline{\tau }}}>0\) and can be computed as
Thus, \(-\eta _1{{\overline{\tau }}}+\eta _2{{\overline{\tau }}}^{{\mathfrak {s}}}=(1-{{\mathfrak {s}}}){{\mathfrak {s}}}^\frac{{{\mathfrak {s}}}}{1-{{\mathfrak {s}}}}\eta _2^\frac{1}{1-{{\mathfrak {s}}}}\eta _1^\frac{{{\mathfrak {s}}}}{{{\mathfrak {s}}}-1}\), which finishes the proof. \(\square \)
1.5 Proof of Proposition 3.11
For the sake of simplicity, we shall omit the subscript in the usual norm in \({{\mathbb {R}}}\), that is, . The solution of (3.12) is given by
Observe that the exponent satisfies, using (3.10),
where \(\lceil \tfrac{t-s}{T}\rceil \in {\mathbb {N}}\) is the nonnegative integer defined in (3.27). Hence,
where we have used \(\left( \tfrac{t-s}{T}+1\right) ^\frac{1}{{{\mathfrak {r}}}}\le (\tfrac{t-s}{T})^\frac{1}{{{\mathfrak {r}}}}+1\), since \({{\mathfrak {r}}}>1\); see Phan and Rodrigues (2017, Proposition 2.6).
By (3.11), we have that
from which, together with (A.17) and Proposition 3.10, we obtain
because by Proposition 3.10, with \({{\mathfrak {s}}}=\frac{{{\mathfrak {r}}}-1}{{{\mathfrak {r}}}}\) and \(\eta _1 =\tfrac{{{\widehat{\mu }}}}{2}\), \(\eta _2=C_h\),
Therefore, from (A.16), (A.18), and (A.19), we derive that
Indeed, observe that
and the last inequality follows from (A.18), which also gives us \(\frac{{{\widehat{\mu }}}}{2}>\mu \). \(\square \)
1.6 Proof of Proposition 3.12
We shall use a fixed point argument, through the contraction principle, in the closed subset
of the Banach space
We show now that since (3.15) holds true, the mapping
where \(\varpi \) solves
is well defined and is a contraction in \({{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{{\mu _0}}\).
We look at (A.20) as a perturbation of the nominal linear system
Note that (3.15) implies that
which we use together with Proposition 3.11 to conclude that the solution
of (A.21) satisfies
By the Duhamel formula, we have that the solution w of (A.20) is given as
-
Step 1: \(\varPsi \) maps \({{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\) into itself, if \(\left| \varpi _0\right| _{}<\varrho R\). We observe that (A.22) and (A.23) give us the estimate
$$\begin{aligned} \left| \varpi (t)\right| _{}\le \varrho ^\frac{1}{2}\mathrm {e}^{-2{\mu _0} t}\left| \varpi _0\right| _{} +\int _0^t\varrho ^\frac{1}{2}\mathrm {e}^{-2{\mu _0}(t-\tau )}\left| h(\tau )\right| _{} \left| \breve{\varpi }(\tau )\right| _{}^{p+1}\,\mathrm d\tau . \end{aligned}$$(A.24)
Next, we also find, since \(\breve{\varpi }\in {{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\),
By combining (A.24) with (A.25), we arrive at
Next, we use (3.14) and \(\left| \varpi _0\right| _{}\le \varrho R\) to obtain
and
From (A.26) and (A.27), we find \(\mathrm {e}^{{\mu _0} t}\left| \varpi (t)\right| _{}\le \varrho \left| \varpi _0\right| _{}\), and hence, \(\varpi =\varPsi (\breve{\varpi })\in {{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\).
-
Step 2: \(\varPsi \) is a contraction in \({{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\), if \(\left| \varpi _0\right| _{}<\varrho R\). For an arbitrary given \((\breve{\varpi }_1,\breve{\varpi }_2)\in {{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0} \times {{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\), we have that the difference
$$\begin{aligned} D{:=}\varPsi (\breve{\varpi }_1)-\varPsi (\breve{\varpi }_2) \end{aligned}$$
solves
By the Duhamel formula and the mean value theorem, we obtain
Note that
which together \(\left| \varpi _0\right| _{}\le \varrho R\) and \({\mu _0}\ge \frac{\log (2)}{pT}\), see (3.14), give us \(\tfrac{1}{1- \mathrm {e}^{-{\mu _0} pT}}\le 2\) and
with \(c>1\) as in (3.14). Therefore, (A.30) implies that
which shows that \(\varPsi \) is a contraction.
-
Step 3: Existence of a solution in \({{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\), if \(\left| \varpi _0\right| _{}<\varrho R\). By the contraction mapping principle, there exists a fixed point for \(\Psi \) in \({{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\). Such fixed point is a solution for (3.13).
-
Step 4: Uniqueness of the solution in \(L^\infty ({{\mathbb {R}}}_0,{{\mathbb {R}}})\). The uniqueness follows from the fact that the right-hand side of (3.13) is locally Lipschitz.
-
Step 5: Estimate (3.16) holds true. Fix \(s\ge 0\) and note that \({{\widetilde{h}}}(\tau ){:=}h(\tau +s)\) also satisfies (3.10), with \(C_{{{\widetilde{h}}}}\le C_h\).
Let \(\varpi _{{\underline{s}}}{:=}\varpi \left. \right| _{{{\mathbb {R}}}_s}\) be the restriction to \({{\mathbb {R}}}_s=[s,+\infty )\) of the solution \(\varpi \in {{\mathcal {Z}}}_{\varrho ,\left| \varpi _0\right| _{}}^{\mu _0}\) of (3.13), and observe that \(z(\tau ){:=}\varpi _{{\underline{s}}}(\tau +s)\) solves
If \(\left| \varpi _0\right| _{}<R\), it follows that \(\left| z_0\right| _{}=\left| \varpi (s)\right| _{} \le \varrho \mathrm {e}^{-{\mu _0} s}\left| \varpi _0\right| _{}\le \varrho R\). Then, by Step 3 we have that \(z\in {{\mathcal {Z}}}_{\varrho ,\left| z_0\right| _{}}^{\mu _0}\), which implies that for \(t\ge s\),
which gives us (3.16).
The proof is finished. \(\square \)
1.7 Proof of Proposition 4.3
Let us denote by \(\tau ^i=(\tau ^i_1,\tau ^i_2,\dots ,\tau ^i_d))\in {{\mathbb {R}}}^d\) the unit vector whose coordinates are \(\tau _i^i=1\) and \(\tau _j^i=0\) for \(j\ne i\). Observe that \({{\mathbf {J}}}_{d,2}\) has exactly \(d+1\) vectors. The only element in \({{\mathbf {J}}}_{d,2}\) with \(\textstyle \sum _{j=1}^d{{\mathbf {j}}}_j= d\) is \(\mathbf{1}^d{:=}(1,1,\dots ,1)\). All the other elements in \({{\mathbf {J}}}_{d,2}\) are of the form \(\mathbf{1}^d+\tau ^i\), \(i=1,2,\dots ,d\).
Let now \(p\in {\mathbb {P}}_{\times ,1}\) such that \({{\mathfrak {S}}}(p)=0\), which implies that
that is, with \(\omega _{*}{:=}\omega _{\mathbf{1}^d,1}\)
Denoting \({{\mathfrak {L}}}_ax{:=}\sum _{i=1}^da_ix_i\), and \(p(x){=:}a_0+{{\mathfrak {L}}}_ax\), we obtain
which implies
Note that for fixed i, we have
which together with (A.31) leads us to \(a_i=0\), \(1\le i\le d\), and \(c_0=0\).
We have just shown that \(p\in {\mathbb {P}}_{\times ,1}\) and \({{\mathfrak {S}}}(p)=0\) imply that \(p=0\). Therefore, we can conclude that is a norm on \({\mathbb {P}}_{\times ,1}\). \(\square \)
1.8 Proof of Proposition 4.7
Let \(\theta =\sum \limits _{k=1}^{S_\sigma }\theta _k\Phi _k\in {{\widetilde{{{\mathcal {W}}}}}}_{S}\), with the auxiliary functions \(\Phi _i\) as in (4.2b). Then, after a translation and denoting \({{\widehat{L}}}_i{:=}\frac{rL_i}{2S}\), for the H-norm we find that
and, with , since the \(\Phi _i\)s are pairwise orthogonal, we arrive at
Next, for the V-norm we find
and, due to
we obtain
That is,
Finally, for the D(A)-norm we find
and from
we obtain
and hence,
which finishes the proof. \(\square \)
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Rodrigues, S.S. Semiglobal Oblique Projection Exponential Dynamical Observers for Nonautonomous Semilinear Parabolic-Like Equations. J Nonlinear Sci 31, 100 (2021). https://doi.org/10.1007/s00332-021-09756-8
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DOI: https://doi.org/10.1007/s00332-021-09756-8
Keywords
- Exponential observer
- State estimation
- Nonautonomous semilinear parabolic equations
- Finite-dimensional output
- Oblique projection output injection
- Continuous data assimilation