Distributed parameter identification algorithm for large‐scale interconnected systems

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 then achieved using Lyapunov approach. theoretical and simulation results prove effectiveness proposed algorithm.