Data filtering based maximum likelihood forgetting factor stochastic gradient parameter estimation algorithm for feedback nonlinear systems with colored noise

This paper considers the parameter estimation of feedback nonlinear systems with colored noise. According to the data filtering technique and maximum likelihood principle, a maximum likelihood forgetting factor stochastic gradient identification method is presented for the discussed feedback nonlinear systems. The simulation results indicate that the proposed algorithm is effective.