Hierarchical null controllability of a semilinear degenerate parabolic equation with a gradient term
Landry Djomegne, Cyrille Kenne (LAMIA, L3MA), Ren\'e Dorville (L3MA),, Pascal Zongo (L3MA)

TL;DR
This paper investigates the hierarchical null controllability of a semilinear degenerate parabolic equation with a gradient term, employing a Stackelberg-Nash strategy and advanced inequalities to establish controllability results.
Contribution
It introduces a novel approach to handle non-convex functionals in semilinear degenerate parabolic equations using Nash quasi-equilibrium and Carleman inequalities.
Findings
Established existence and uniqueness of Nash quasi-equilibrium.
Proved null controllability of the linearized system.
Extended controllability results to the nonlinear system using fixed point theorem.
Abstract
In this paper, we apply the hierarchical strategy to a semilinear weakly degenerate parabolic equation involving a gradient term. We use the Stackelberg-Nash strategy with one leader which tries to drive the solution to zero and two followers intended to solve a Nash equilibrium corresponding to a bi-objective optimal control problem. Since the system is semilinear, the functionals are not convex in general. To overcome this difficulty, we first prove the existence and uniqueness of the Nash quasi-equilibrium, which is a weaker formulation of the Nash equilibrium. Next, with additional conditions, we establish the equivalence between the Nash quasi-equilibrium and the Nash equilibrium. We establish a suitable Carleman inequality for the adjoint system and then an observability inequality. Based on this observability inequality, we prove the null controllability of the linearized system.…
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
