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2 results on '"Miao, Guangqin"'

1. Auxiliary model‐based recursive least squares and stochastic gradient algorithms and convergence analysis for feedback nonlinear output‐error systems.

Author

Miao, Guangqin, Yang, Dan, and Ding, Feng

Subjects
*NONLINEAR systems, *STOCHASTIC processes, *LEAST squares, *NONLINEAR estimation, *NONLINEAR analysis, *PARAMETER estimation
Abstract

Summary: This paper deals with the problem of the parameter estimation for feedback nonlinear output‐error systems. The auxiliary model‐based recursive least squares algorithm and the auxiliary model‐based stochastic gradient algorithm are derived for parameter estimation. Based on the stochastic process theory, the convergence of the proposed algorithms are proved. The simulation results indicate that the proposed algorithms can estimate the parameters of feedback nonlinear output‐error systems effectively. [ABSTRACT FROM AUTHOR]

Published
2024
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