Distributed Estimation Based on Prior Information

Abstract

In this paper, we propose an approach for distributed estimation algorithm using Bayesian-based forward backward (FB) Kalman filter (KF) used on a stochastic singular linear system. The approach incorporates generalized versions of KF presented for cases with complete or incomplete a-priori information with bounds, followed by estimation fusion for these cases. The proposed approach is then validated on a coupled tank system to ensure its effectiveness.