ABSTRACT
In this chapter, we propose an approximate distributed estimation within a distributed networked control formalism. This is made possible by using a Bayesianbased forward-backward (FB) system with generalized versions of a Kalman filter. The analytical treatment is presented for cases with complete, incomplete, or no prior information with bounds and then followed by estimation fusion for all three cases. The proposed scheme is validated on a rotational drive-based electrohydraulic system and the ensuing results ensured the effectiveness of the scheme underpinning it.
