This paper deals with parameter estimation problem of large-scale systems. A recursive distributed algorithm, based on the minimization prediction error method, is developed. Specifically, class systems that are composed several interconnected sub-systems considered. Each sub-system modelled by a linear discrete-time state space mathematical model unknown parameters. The convergence analysis th...

In this paper, we consider distributed simultaneous state and parameter estimation for a class of nonlinear systems, which the augmented model comprising both states parameters is only partially observable. Specifically, first illustrate how sensitivity analysis (SA) can select variables estimation. Then, community structure detection (CSD) based process decomposition method proposed dividing e...