Abstract
Stabilizing feedback operators are presented which depend only on the orthogonal projection of the state onto the finite-dimensional control space. A class of monotone feedback operators mapping the finite-dimensional control space into itself is considered. The special case of the scaled identity operator is included. Conditions are given on the set of actuators and on the magnitude of the monotonicity, which guarantee the semiglobal stabilizing property of the feedback for a class of semilinear parabolic-like equations. Subsequently an optimal feedback control minimizing the quadratic energy cost is computed by a deep neural network, exploiting the fact that the feedback depends only on a finite dimensional component of the state. Numerical simulations demonstrate the stabilizing performance of explicitly scaled orthogonal projection feedbacks, and of deep neural network feedbacks.
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References
Azmi, B., Rodrigues, S.S.: Oblique projection local feedback stabilization of nonautonomous semilinear damped wave-like equations. J. Differ. Equ. 269(7), 6163–6192 (2020). https://doi.org/10.1016/j.jde.2020.04.033
Azouani, A., Titi, E.S.: Feedback control of nonlinear dissipative systems by finite determining parameters—a reaction-diffusion paradigm. Evol. Equ. Control Theory 3(4), 579–594 (2014). https://doi.org/10.3934/eect.2014.3.579
Badra, M., Takahashi, T.: Stabilization of parabolic nonlinear systems with finite dimensional feedback or dynamical controllers: application to the Navier-Stokes system. SIAM J. Control Optim. 49(2), 420–463 (2011). https://doi.org/10.1137/090778146
Ball, J.M.: Remarks on blow-up and nonexistence theorems for nonlinear evolution equations. Q. J. Math. 28(4), 473–486 (1977). https://doi.org/10.1093/qmath/28.4.473
Balogh, A., Krstic, M.: Burgers’ equation with nonlinear boundary feedback: \(h^1\) stability, well-posedness and simulation. Math. Probl. Eng. 6, 189–200 (2000). https://doi.org/10.1155/S1024123X00001320
Barbu, V.: Stabilization of Navier–Stokes Flows. Communications and Control Engineering Series. Springer, London (2011). https://doi.org/10.1007/978-0-85729-043-4
Barbu, V.: Stabilization of Navier–Stokes equations by oblique boundary feedback controllers. SIAM J. Control Optim. 50(4), 2288–2307 (2012). https://doi.org/10.1137/110837164
Barbu, V.: Boundary stabilization of equilibrium solutions to parabolic equations. IEEE Trans. Autom. Control 58(9), 2416–2420 (2013). https://doi.org/10.1109/TAC.2013.2254013
Barbu, V., Triggiani, R.: Internal stabilization of Navier–Stokes equations with finite-dimensional controllers. Indiana Univ. Math. J. 53(5), 1443–1494 (2004). https://doi.org/10.1512/iumj.2004.53.2445
Barbu, V., Lasiecka, I., Triggiani, R.: Abstract settings for tangential boundary stabilization of Navier–Stokes equations by high- and low-gain feedback controllers. Nonlinear Anal. 64(12), 2704–2746 (2006). https://doi.org/10.1016/j.na.2005.09.012
Barbu, V., Rodrigues, S.S., Shirikyan, A.: Internal exponential stabilization to a nonstationary solution for 3D Navier–Stokes equations. SIAM J. Control Optim. 49(4), 1454–1478 (2011). https://doi.org/10.1137/100785739
Bertsekas, D.P.: Reinforcement Learning and Optimal Control. Athena Scientific, Belmont (2019)
Cochran, J., Vazquez, R., Krstic, M.: Backstepping boundary control of Navier–Stokes channel flow: a 3D extension. In: Proceedings of the 2006 American Control Conference, Minneapolis, MN, USA, pp. 769–774, 6 (2006). https://doi.org/10.1109/ACC.2006.1655449
Demengel, F., Demengel, G.: Functional Spaces for the Theory of Elliptic Partial Differential Equations. Universitext. Springer (2012). https://doi.org/10.1007/978-1-4471-2807-6
Dolgov, S., Kalise, D., Kunisch, K.: Tensor decompositions for high-dimensional Hamilton–Jacobi–Bellman equations (2019). arXiv:1908.01533
Fisher, R.A.: The wave of advance of advantageous genes. Ann. Hum. Genet. 7(4), 355–369 (1937). https://doi.org/10.1111/j.1469-1809.1937.tb02153.x
Grishakov, S., Degtyarenko, P.N., Degtyarenko, N.N., Elesin, V.F., Kruglov, V.S.: Time dependent Ginzburg–Landau equations for modeling vortices dynamics in type-II superconductors with defects under a transport current. Phys. Procedia 36, 1206–1210 (2012). https://doi.org/10.1016/j.phpro.2012.06.202
Gugat, M., Troeltzsch, F.: Boundary feedback stabilization of the Schlögl system. Autom. J. IFAC 51, 192–1199 (2015). https://doi.org/10.1016/j.automatica.2014.10.106
Halanay, A., Murea, C.M., Safta, C.A.: Numerical experiment for stabilization of the heat equation by Dirichlet boundary control. Numer. Funct. Anal. Optim. 34(12), 1317–1327 (2013). https://doi.org/10.1080/01630563.2013.808210
Krstic, M., Magnis, L., Vazquez, R.: Nonlinear control of the viscous Burgers equation: trajectory generation, tracking, and observer design. J. Dyn. Syst. Meas. Control 131(2), 021012(1–8) (2009). https://doi.org/10.1115/1.3023128
Kunisch, K., Rodrigues, S.S.: Explicit exponential stabilization of nonautonomous linear parabolic-like systems by a finite number of internal actuators. ESAIM Control Optim. Calc. Var. 25, Art 67. (2019) https://doi.org/10.1051/cocv/2018054
Kunisch, K., Rodrigues, S.S.: Oblique projection based stabilizing feedback for nonautonomous coupled parabolic-ODE systems. Discret. Contin. Dyn. Syst. 39(11), 6355–6389 (2019). https://doi.org/10.3934/dcds.2019276
Kunisch, K., Walter, D.: Semiglobal optimal feedback stabilization of autonomous systems via deep neural network approximation. ESAIM Control Optim. Calc. Var. 27, 16 (2021). https://doi.org/10.1051/cocv/2021009
Le, D.: Global existence for some cross diffusion systems with equal cross diffusion/reaction rates. Adv. Nonlinear Stud. (2020). https://doi.org/10.1515/ans-2020-2096
Levine, H.A.: Some nonexistence and instability theorems for solutions of formally parabolic equations of the form \({P}u_t=-{A}u+{\cal{F}}(u)\). Arch. Ration. Mech. Anal. 51(5), 371–386 (1973). https://doi.org/10.1007/BF00263041
Lunasin, E., Titi, E.S.: Finite determining parameters feedback control for distributed nonlinear dissipative systems - a computational study. Evol. Equ. Control Theory 6(4), 535–557 (2017). https://doi.org/10.3934/eect.2017027
Merle, F., Zaag, H.: Optimal estimates for blowup rate and behavior for nonlinear heat equations. Commun. Pure Appl. Math. 51(2), 139–196 (1998). 10.1002/(SICI)1097-0312(199802)51:2\(<\)139::AID-CPA2\(>\)3.0.CO;2-C
Olmos, D., Shizgal, B.D.: A pseudospectral method of solution of Fisher’s equation. J. Comput. Appl. Math. 193(1), 219–242 (2006). https://doi.org/10.1016/j.cam.2005.06.028
Phan, D., Rodrigues, S.S.: Stabilization to trajectories for parabolic equations. Math. Control Signals Syst. 30(2), Art 11. (2018) https://doi.org/10.1007/s00498-018-0218-0
Raymond, J.-P.: Stabilizability of infinite-dimensional systems by finite-dimensional controls. Comput. Methods Appl. Math. 19(4), 797–811 (2019). https://doi.org/10.1515/cmam-2018-0031
Rodrigues, S.S.: Semiglobal exponential stabilization of nonautonomous semilinear parabolic-like systems. Evol. Equ. Control Theory 9(3), 635–672 (2020). https://doi.org/10.3934/eect.2020027
Rodrigues, S.S.: Oblique projection exponential dynamical observer for nonautonomous linear parabolic-like equations. SIAM J. Control Optim. 59(1), 464–488 (2021). https://doi.org/10.1137/19M1278934
Rodrigues, S.S.: Oblique projection output-based feedback stabilization of nonautonomous parabolic equations. Automatica J. IFAC 129, 109621 (2021). https://doi.org/10.1016/j.automatica.2021.109621
Rodrigues, S.S., Sturm, K.: On the explicit feedback stabilisation of one-dimensional linear nonautonomous parabolic equations via oblique projections. IMA J. Math. Control Inf. 37(1), 175–207 (2020). https://doi.org/10.1093/imamci/dny045
Schlögl, F.: Chemical reaction models for non-equilibrium phase transitions. Z. Phys. 253, 147–161 (1972). https://doi.org/10.1007/BF01379769
Shigesada, N., Kawasaki, K., Teramoto, E.: Spatial segregation of interacting species. J. Theor. Biol. 79(1), 83–99 (1979). https://doi.org/10.1016/0022-5193(79)90258-3
Tsubakino, D., Krstic, M., Hara, Sh.: Backstepping control for parabolic PDEs with in-domain actuation. In: Proceedings of the American Control Conference (ACC), Montréal, Canada, pp. 2226–2231 (2012). https://doi.org/10.1109/ACC.2012.6315358
Weinan, E.: Dynamics of vortex liquids in Ginzburg–Landau theories with applications to superconductivity. Phys. Rev. B 50, 1126–1135 (1994). https://doi.org/10.1103/PhysRevB.50.1126
Wu, M.Y.: A note on stability of linear time-varying systems. IEEE Trans. Autom. Control 19(2), 162 (1974). https://doi.org/10.1109/TAC.1974.1100529
Acknowledgements
Karl Kunisch and Sérgio S. Rodrigues were supported by the ERC advanced grant 668998 (OCLOC) under the EU’s H2020 research program. Sérgio S. Rodrigues acknowledges partial support from Austrian Science Fund (FWF): P 33432-NBL.
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Appendix
Appendix
1.1 A.1 Proof of Lemma 3.3
Using Lemma 3.2 with \((y_1,y_2)=(y,0)\), we find
with \(D_1{:}{=}\left( 1+\gamma _2^{-\frac{1+\Vert \delta _2\Vert }{1-\Vert \delta _2\Vert } }\right) {\overline{C}}_{{{\mathcal {N}}}1}\). Next, we recall the young inequality in the form
(cf. [31, Appendix A.1]), which allow us to obtain, with
the inequality
Now, for any given \(\gamma _3>0\), we choose
which gives us
Recalling (A.1), it follows that
for all \(\gamma _2>0\), \(\gamma _3>0\), with
For an arbitrary given \(\gamma _4>0\), we may set \(\gamma _2=\frac{\gamma _4}{2}\) and \(\gamma _3=\frac{\gamma _4}{2nD_1}\), leading us to
Observe that
hence, from Assumption 2.4, we have that
and can write
with
This ends the proof. \(\square \)
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Kunisch, K., Rodrigues, S.S. & Walter, D. Learning an Optimal Feedback Operator Semiglobally Stabilizing Semilinear Parabolic Equations. Appl Math Optim 84 (Suppl 1), 277–318 (2021). https://doi.org/10.1007/s00245-021-09769-5
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DOI: https://doi.org/10.1007/s00245-021-09769-5