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.
| Original language | English |
|---|---|
| Pages (from-to) | 124-151 |
| Number of pages | 28 |
| Journal | Circuits, Systems, and Signal Processing |
| Volume | 43 |
| Issue number | 1 |
| Early online date | 17 Aug 2023 |
| DOIs | |
| Publication status | Published - 1 Jan 2024 |
Funding
This work was supported by the National Natural Science Foundation of China (No. 62273167, 62076110), the 111 Project (B23008), the Natural Science Foundation of Shanghai (No. 22ZR1445300) and the Academic Research Fund (Applied Technology) Project (CFK201808) of Changzhou Vocational Institute of Textile and Garment and the Fundamental Research Funds for the Central Universities under Grant (JUSRP221027).
Keywords
- Gradient search
- Hierarchical identification
- Iterative identification
- Nonlinear feedback system
- Parameter estimation