Maximum likelihood stochastic gradient parameter estimation algorithm for multi-input multi-output systems

摘要

This paper discusses parameter estimation problems of the multi-input multi-output systems described by input-output difference equation models. A maximum likelihood stochastic gradient algorithm with a forgetting factor is proposed for each subsystem. The effectiveness of the proposed algorithm is verified by a numerical example.