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- Title
Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle.
- Authors
Yang, Dan; Liu, Yanjun; Ding, Feng; Yang, Erfu
- Abstract
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 computational costs and improve the parameter estimation accuracy, the hierarchical identification principle is employed to derive a hierarchical gradient-based iterative algorithm. A simulation example is provided to test the effectiveness of the proposed algorithms.
- Subjects
PARAMETER estimation; NONLINEAR systems; NONLINEAR estimation; PARAMETER identification; CLOSED loop systems; PSYCHOLOGICAL feedback; ITERATIVE learning control
- Publication
Circuits, Systems & Signal Processing, 2024, Vol 43, Issue 1, p124
- ISSN
0278-081X
- Publication type
Article
- DOI
10.1007/s00034-023-02477-1