Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle

This paper focuses on iterative parameter estimation methods for a nonlinear closed-loop system (i.e., a nonlinear feedback system) with an equation-error model for the open-loop part. By applying negative gradient search, a gradient-based iterative algorithm is constructed. To reduce the computatio...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 43; H. 1; S. 124 - 151
Hauptverfasser:	Yang, Dan, Liu, Yanjun, Ding, Feng, Yang, Erfu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2024 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Circuits and Systems Closed loops Decomposition Electrical Engineering Electronics and Microelectronics Engineering Feedback control Identification Instrumentation Iterative algorithms Iterative methods Nonlinear feedback Parameter estimation Parameter identification Principles Process controls Signal processing Signal,Image and Speech Processing Gradient search Parameter estimation Iterative identification Nonlinear feedback system Hierarchical identification
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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