Bilinear Controllability of a Class of Advection-Diffusion-Reaction Systems
Karthik Elamvazhuthi, Hendrik Kuiper, Matthias Kawski, Spring, Berman

TL;DR
This paper establishes the exact controllability of certain advection-diffusion-reaction PDEs modeling agent swarms, providing constructive methods for steering the system to desired distributions and stabilizing it using bounded controls.
Contribution
It extends controllability results to a class of advection-diffusion-reaction PDEs and hybrid-switching diffusion processes, with constructive proofs and feedback stabilization strategies.
Findings
Controllability of the advection-diffusion equation under bounded controls.
Extension of controllability to advection-diffusion-reaction PDEs and HSDPs.
Constructive solutions for stabilizing the system to a target distribution.
Abstract
In this paper, we investigate the exact controllability properties of an advection-diffusion equation on a bounded domain, using time- and space-dependent velocity fields as the control parameters. This partial differential equation (PDE) is the Kolmogorov forward equation for a reflected diffusion process that models the spatiotemporal evolution of a swarm of agents. We prove that if a target probability density has bounded first-order weak derivatives and is uniformly bounded from below by a positive constant, then it can be reached in finite time using control inputs that are bounded in space and time. We then extend this controllability result to a class of advection-diffusion-reaction PDEs that corresponds to a hybrid-switching diffusion process (HSDP), in which case the reaction parameters are additionally incorporated as the control inputs. Our proof for controllability of the…
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