Search Results - extended hierarchical multiinnovation stochastic gradient algorithm

Hierarchical extended parameter identification methods and convergence for finite impulse response moving average models based on the hierarchical identification principle.

Authors: Ding, Feng Xu, Ling Zhang, Xiao et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Nov2025, Vol. 239 Issue 10, p1719-1746, 28p

Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation

Authors: Longjin Wang Yan Ji Hualin Yang et al.

Source: International Journal of Robust and Nonlinear Control. 30:3607-3623

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://onlinelibrary.wiley.com/doi/10.1002/rnc.4959

Hierarchical multi‐innovation generalised extended stochastic gradient methods for multivariable equation‐error autoregressive moving average systems.

Authors: Xu, Ling Ding, Feng Lu, Xian et al.

Source: IET Control Theory & Applications (Wiley-Blackwell). Jul2020, Vol. 14 Issue 11, p1276-1286. 11p.

Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation.

Authors: Wang, Longjin Ji, Yan Yang, Hualin et al.

Source: International Journal of Robust & Nonlinear Control; Jun2020, Vol. 30 Issue 9, p3607-3623, 17p

Subject Terms: IDENTIFICATION, MIMO radar, PARAMETER estimation, ALGORITHMS

Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems.

Authors: Liu, Haibo Wang, Junwei Meng, Xiangxiang

Source: Optimal Control - Applications & Methods; Mar2022, Vol. 43 Issue 2, p402-417, 16p

Subject Terms: PARAMETER estimation, AUTOREGRESSIVE models, MOVING average process, ALGORITHMS, NONLINEAR systems

Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory.

Authors: Xia, Huafeng Ji, Yan Xu, Ling et al.

Source: International Journal of Robust & Nonlinear Control; 9/25/2020, Vol. 30 Issue 14, p5446-5463, 18p

Subject Terms: NONLINEAR estimation, NONLINEAR systems, PARAMETER estimation, IDENTIFICATION, PARAMETER identification, ALGORITHMS, COMPUTATIONAL complexity, MULTIVARIABLE testing

Weighted hierarchical stochastic gradient identification algorithms for ARX models.

Authors: Dong, Rui-Qi Zhang, Ying Wu, Ai-Guo

Source: International Journal of Systems Science; Jan2021, Vol. 52 Issue 2, p363-373, 11p

Subject Terms: ALGORITHMS, PARAMETER identification, IDENTIFICATION, SYSTEM identification, HIERARCHICAL Bayes model

Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity.

Authors: Liu, Ximei Fan, Yamin

Source: International Journal of Robust & Nonlinear Control; Jun2021, Vol. 31 Issue 9, p4017-4036, 20p

Subject Terms: MOVING average process, EXPECTATION-maximization algorithms, PARAMETER estimation, PARAMETER identification, SYSTEM identification, ALGORITHMS

Hierarchical stochastic gradient identification for non-uniformly sampling hammerstein systems with colored noise.

Authors: Liu Ranran Zheng Enxing Chang Shan et al.

Source: Computer Systems Science & Engineering; Nov2016, Vol. 31 Issue 6, p425-430, 6p

Subject Terms: STOCHASTIC analysis, PARAMETER identification, HAMMERSTEIN equations, ALGORITHMS, SIMULATION methods & models

Parameter estimation of fractional‐order Hammerstein state space system based on the extended Kalman filter.

Authors: Bi, Yiqun Ji, Yan

Source: International Journal of Adaptive Control & Signal Processing; Jul2023, Vol. 37 Issue 7, p1827-1846, 20p

Subject Terms: PARAMETER estimation, KALMAN filtering, ALGORITHMS

Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor.

Authors: Jing, Shaoxue

Source: Optimal Control - Applications & Methods; May2023, Vol. 44 Issue 3, p1510-1522, 13p

Subject Terms: SYSTEM identification, UNCERTAINTY (Information theory), PROBABILITY density function, ALGORITHMS, MANUFACTURING processes

Correlation Analysis-based Stochastic Gradient and Least Squares Identification Methods for Errors-in-variables Systems Using the Multiinnovation.

Authors: Fan, Shujun Xu, Ling Ding, Feng et al.

Source: International Journal of Control, Automation & Systems; 2021, Vol. 19 Issue 1, p289-300, 12p

反馈非线性系统随机梯度辨识算法及其收敛性. (Chinese)

Alternate Title: Stochastic gradient identification algorithm and its convergence for feedback nonlinear systems. (English)

Authors: 魏 纯 徐 玲 丁 锋

Source: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Oct2023, Vol. 40 Issue 10, p1757-1764, 8p

Subject Terms: NONLINEAR systems

Auxiliary model maximum likelihood gradient‐based iterative identification for feedback nonlinear systems.

Authors: Liu, Lijuan Li, Fu Ma, Junxia et al.

Source: Optimal Control - Applications & Methods; Sep2024, Vol. 45 Issue 5, p2346-2363, 18p

Subject Terms: NONLINEAR systems, MOVING average process, COMPUTER simulation, ALGORITHMS, NOISE

Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems.

Authors: Liu, Qinyao Chen, Feiyan

Source: International Journal of Systems Science; May2023, Vol. 54 Issue 7, p1484-1502, 19p

Subject Terms: ALGORITHMS, PARAMETER estimation, COMPUTATIONAL complexity, INFORMATION sharing, DISTRIBUTED algorithms

Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems.

Authors: Xu, Ling Ding, Feng Yang, Erfu

Source: International Journal of Robust & Nonlinear Control; 1/10/2021, Vol. 31 Issue 1, p148-165, 18p

Subject Terms: NONLINEAR systems, PARAMETER estimation, STOCHASTIC models, NONLINEAR estimation, NONLINEAR equations, NONLINEAR oscillators

Overall recursive least squares and overall stochastic gradient algorithms and their convergence for feedback nonlinear controlled autoregressive systems.

Authors: Wei, Chun Zhang, Xiao Xu, Ling et al.

Source: International Journal of Robust & Nonlinear Control; Jun2022, Vol. 32 Issue 9, p5534-5554, 21p

Subject Terms: NONLINEAR systems, PARAMETER estimation, STOCHASTIC processes, ALGORITHMS, NONLINEAR estimation

Bias compensated stochastic gradient algorithm for identification of an ARX‐type nonlinear rational model and its application in modeling of the dynamic of the cellular toxicity.

Authors: Jing, Shaoxue Kiely, Janice Luxton, Richard

Source: International Journal of Robust & Nonlinear Control; Jun2022, Vol. 32 Issue 9, p5268-5280, 13p

Subject Terms: PARAMETER identification, DYNAMIC models, ALGORITHMS, AMMONIUM chloride, INFORMATION modeling

Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique.

Authors: Xiao Jiang Jian Pan Xiangkui Wan et al.

Source: 2016 American Control Conference (ACC); 2016, p925-929, 5p

Multi-Innovation Stochastic Gradient Identification Algorithm for Hammerstein Controlled Autoregressive Autoregressive Systems Based on the Key Term Separation Principle and on the Model Decomposition.

Authors: Huiyi Hu Xiao Yongsong Rui Ding

Source: Journal of Applied Mathematics; 2013, p1-7, 7p

Subject Terms: STOCHASTIC analysis, ALGORITHMS, HAMMERSTEIN equations, AUTOREGRESSIVE models, MATHEMATICAL decomposition, MATHEMATICAL models, NONLINEAR analysis