Distributed Reduced Order Source Identification

摘要

In this paper we propose a distributed approach for model-based Source Identification (SI) that minimizes communication cost and allows for on demand balancing of computational resources, based on the specifications of the sensors. Specifically, we consider the steady-state Advection-Diffusion equation which we discretize using the Finite Element (FE) method, and then apply Proper Orthogonal Decomposition to reduce the order of the model. The concentration measurements that are needed to solve the SI problem are collected by a team of mobile sensors that move in pre-assigned subdomains in the environment. We formulate an