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

被引：0
作者：
Dan Yang
Yanjun Liu
Feng Ding
Erfu Yang
机构：
[1] Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering
[2] Changzhou Vocational Institute of Textile and Garment,Department of Electromechanical Engineering
[3] University of Strathclyde,Department of Design, Manufacturing and Engineering Management
来源：
Circuits, Systems, and Signal Processing | 2024年 / 43卷
关键词：
Nonlinear feedback system; Iterative identification; Hierarchical identification; Gradient search; Parameter estimation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：124 / 151
页数：27
相关论文
共 356 条
  • [41] Ma LC(2022)Particle filtering-based iterative identification methods for a class of nonlinear systems with interval-varying measurements Int. J. Control Autom. Syst. 20 47-1632
  • [42] Cao Y(2019)The filtering-based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle Int. J. Adapt. Control Signal Process. 33 89-1989
  • [43] Zhang ZX(2021)Adaptive model recovery scheme for multivariable system using error correction learning IEEE Trans. Instrum. Meas. 70 1612-3268
  • [44] Cheng FL(2023)Abnormal sitting posture recognition based on multi-scale spatiotemporal features of skeleton graph Eng. Appl. Artif. Intell. 123 1970-4036
  • [45] Su S(2023)Human activity recognition based on multienvironment sensor data Inf. Fusion 91 3251-2615
  • [46] Cui T(2022)Parameter identification of Hammerstein-Wiener nonlinear systems with unknown time delay based on the linear variable weight particle swarm optimization ISA Trans. 120 4017-1583
  • [47] Ding F(2021)Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling Int. J. Adapt. Control Signal Process. 35 2606-599
  • [48] Ding F(2021)Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation Int. J. Adapt. Control Signal Process. 35 1568-3051
  • [49] Ma H(2019)Hierarchical principle-based iterative parameter estimation algorithm for dual-frequency signals Circuits Syst Signal Process. 38 577-1915
  • [50] Pan J(2021)Maximum likelihood extended gradient-based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable-gain nonlinearity Int. J. Robust Nonlinear Control 31 3040-869
12345678910