A theory of the infinite horizon LQ-problem for composite systems of PDEs with boundary control
Paolo Acquistapace, Francesca Bucci, Irena Lasiecka

TL;DR
This paper develops a comprehensive infinite horizon Linear-Quadratic control theory for complex PDE systems with boundary control, addressing unbounded operators and Riccati equations in hyperbolic/parabolic dynamics.
Contribution
It extends finite horizon LQ theory to infinite horizon for composite PDE systems with boundary control, introducing new tools for unbounded operator Riccati equations.
Findings
Established well-posedness of algebraic Riccati equations for infinite horizon problems.
Provided a framework for systems with hyperbolic components and boundary control.
Illustrated the theory with a thermoelastic boundary control example.
Abstract
We study the infinite horizon Linear-Quadratic problem and the associated algebraic Riccati equations for systems with unbounded control actions. The operator-theoretic context is motivated by composite systems of Partial Differential Equations (PDE) with boundary or point control. Specific focus is placed on systems of coupled hyperbolic/parabolic PDE with an overall `predominant' hyperbolic character, such as, e.g., some models for thermoelastic or fluid-structure interactions. While unbounded control actions lead to Riccati equations with unbounded (operator) coefficients, unlike the parabolic case solvability of these equations becomes a major issue, owing to the lack of sufficient regularity of the solutions to the composite dynamics. In the present case, even the more general theory appealing to estimates of the singularity displayed by the kernel which occurs in the integral…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Controllability of Differential Equations · Advanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
