Distributed State Estimation of Discrete-Time LTI Systems via Jordan Canonical Representation

This paper addresses the distributed state estimation problem for a discrete-time, linear time-invariant system. Building on the framework proposed in [3], we exploit the Jordan canonical form of the system matrix to develop a distributed estimation scheme that ensures the asymptotic convergence of the local state estimates to the true system state. In the proposed approach each node reconstructs the components of the system state that are detectable for it through a local Luenberger observer, while employing a consensus-based strategy to estimate the undetectable components. Necessary and sufficient conditions for the existence of a distributed observer that guarantees asymptotic estimation accuracy are derived. Compared with [3], the proposed design offers greater flexibility in the selection of the coupling gains and leads to a less restrictive set of conditions for solvability.