Optimal shape and location of sensors or actuators in PDE models

Abstract

Abstract-We investigate the problem of optimizing the shape and location of sensors and actuators for evolution systems driven by distributed parameter systems or partial differential equations (PDE), like for instance the wave equation, the Schrödinger equation, or a parabolic system, on an arbitrary domain Ω, in any space dimension, and with suitable boundary conditions if there is a boundary, which can be of Dirichlet, Neumann, mixed or Robin. This kind of problem is frequently encountered in applications where one aims, for instance, at maximizing the quality of reconstruction of the solution, using only a partial observation. From the mathematical point of view, using probabilistic considerations we model this problem as that of maximizing the so-called randomized observability constant, over all possible subdomains of Ω having a prescribed measure. The spectral analysis of this problem reveals intimate connections with the theory of quantum chaos. More precisely, we provide a solution to this problem when the domain Ω satisfies suitable quantum ergodicity assumptions.

Towards Optimal Architectures for Hazard Monitoring Based on Sensor Networks and Crowdsensing

“…A similar observability inequality can be formulated when dealing with partial differential equations (see for instance Privat et al (2014)).…”