Memory-Type Null Controllability of Parabolic Equations with Moving Controls: A Geometric Characterization
Dev Prakash Jha, Raju K. George

TL;DR
This paper establishes a geometric condition, called MGCC, under which linear parabolic equations with memory can be driven to zero using moving controls, by reformulating the problem as a coupled system and deriving an observability inequality.
Contribution
It introduces the Memory Geometric Control Condition (MGCC) for moving controls and proves its sufficiency for memory-type null controllability of parabolic equations with exponential kernels.
Findings
MGCC ensures null controllability with moving controls.
Derived a flow-adapted Carleman estimate for the coupled system.
Established an observability inequality explicitly accounting for memory variables.
Abstract
We study memory-type null controllability for linear parabolic equations with hereditary terms and time-dependent control regions. In contrast with classical null controllability, systems with memory require the simultaneous annihilation of both the state and the accumulated memory at the terminal time in order to prevent post-control reactivation of the dynamics. Assuming that the memory kernel is a finite sum of exponentials, we reformulate the problem as a coupled parabolic--ODE system. Within this framework, we introduce a geometric condition on moving control regions, referred to as the Memory Geometric Control Condition (MGCC), which requires that every spatial point be visited by the control region during the control horizon. Under MGCC, we establish an augmented observability inequality for the adjoint system by means of a flow-adapted Carleman estimate. This observability…
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 · Numerical methods in inverse problems · Control and Stability of Dynamical Systems
