Suchergebnisse - multiinnovation gradient estimation algorithms

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

Autoren: Longjin Wang Yan Ji Hualin Yang et al.

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

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

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

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

Autoren: Huafeng Xia Yan Ji Ling Xu et al.

Quelle: International Journal of Robust and Nonlinear Control. 30:5446-5463

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

Zugangs-URL: https://onlinelibrary.wiley.com/doi/10.1002/rnc.5086

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

Autoren: Ximei Liu Yamin Fan

Quelle: International Journal of Robust and Nonlinear Control. 31:4017-4036

Schlagwörter: 0209 industrial biotechnology, 02 engineering and technology

Zugangs-URL: https://onlinelibrary.wiley.com/doi/10.1002/rnc.5450

Multi‐innovation gradient estimation algorithms for multivariate equation‐error autoregressive moving average systems based on the filtering technique.

Autoren: Ma, Ping Ding, Feng Hayat, Tasawar

Quelle: IET Control Theory & Applications (Wiley-Blackwell). Sep2019, Vol. 13 Issue 14, p2086-2094. 9p.

Iterative parameter and order identification for fractional‐order nonlinear finite impulse response systems using the key term separation.

Autoren: Wang, Junwei Ji, Yan Zhang, Chen

Quelle: International Journal of Adaptive Control & Signal Processing. Aug2021, Vol. 35 Issue 8, p1562-1577. 16p.

Schlagwörter: *PARAMETER identification, *PARAMETER estimation, *ALGORITHMS, *NONLINEAR estimation, *REDUNDANCY in engineering

Recursive Least Squares and Multi-innovation Gradient Estimation Algorithms for Bilinear Stochastic Systems.

Autoren: Meng, Dandan

Quelle: Circuits, Systems & Signal Processing; Mar2017, Vol. 36 Issue 3, p1052-1065, 14p

Schlagwörter: STOCHASTIC systems, PARAMETER estimation, LEAST squares, ALGORITHMS, STOCHASTIC processes

Decomposition-based Gradient Estimation Algorithms for Multivariable Equation-error Systems.

Autoren: Lu, Xian Ding, Feng Alsaedi, Ahmed et al.

Quelle: International Journal of Control, Automation & Systems; Aug2019, Vol. 17 Issue 8, p2037-2045, 9p

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

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

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

Schlagwörter: IDENTIFICATION, MIMO radar, PARAMETER estimation, ALGORITHMS

Multiple-bias Compensations-based Gradient Estimation Method for Errors-in-variables Time-delay Systems by Using the Unbiasedness Criterion.

Autoren: Wang, Xuehai Duan, Yijuan

Quelle: International Journal of Control, Automation & Systems; Oct2025, Vol. 23 Issue 10, p2976-2986, 11p

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

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

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

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

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

Autoren: Liu, Ximei Fan, Yamin

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

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

Parameter estimation for block‐oriented nonlinear systems using the key term separation.

Autoren: Ji, Yan Zhang, Chen Kang, Zhen et al.

Quelle: International Journal of Robust & Nonlinear Control. Jun2020, Vol. 30 Issue 9, p3727-3752. 26p.

Schlagwörter: *PARAMETER estimation, *NONLINEAR systems, *NONLINEAR estimation, *NONLINEAR equations, *TRACKING algorithms

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

Autoren: Yang, Dan Liu, Yanjun Ding, Feng et al.

Quelle: Circuits, Systems & Signal Processing; Jan2024, Vol. 43 Issue 1, p124-151, 28p

Schlagwörter: PARAMETER estimation, NONLINEAR systems, NONLINEAR estimation, PARAMETER identification, CLOSED loop systems, ITERATIVE learning control

Combined state and multi‐innovation parameter estimation for an input non‐linear state‐space system using the key term separation.

Autoren: Wang, Xuehai Ding, Feng Hayat, Tasawar et al.

Quelle: IET Control Theory & Applications (Wiley-Blackwell). Aug2016, Vol. 10 Issue 13, p1503-1512. 10p.

Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory.

Autoren: Zhou, Yihong Ma, Fengying Ding, Feng et al.

Quelle: International Journal of Robust & Nonlinear Control. 11/25/2020, Vol. 30 Issue 17, p7619-7634. 16p.

Schlagwörter: *PARAMETER estimation, *PARAMETER identification, *AUTOREGRESSIVE models, *RADIAL basis functions, *ALGORITHMS, *NOISE

Robust Gradient Estimation Algorithm for a Stochastic System with Colored Noise.

Autoren: Liu, Wentao Xiong, Weili

Quelle: International Journal of Control, Automation & Systems; Feb2023, Vol. 21 Issue 2, p553-562, 10p

Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization.

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

Quelle: International Journal of Robust & Nonlinear Control; 1/25/2024, Vol. 34 Issue 2, p1120-1147, 28p

Schlagwörter: INFORMATION measurement, STOCHASTIC systems, PARAMETER identification, ALGORITHMS, LEAST squares, COMPUTER simulation

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

Autoren: Xu, Ling Ding, Feng Yang, Erfu

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

Schlagwörter: NONLINEAR systems, PARAMETER estimation, STOCHASTIC models, NONLINEAR estimation, NONLINEAR equations, NONLINEAR oscillators

Internal iteration gradient estimator based parameter identification for nonlinear sandwich system subject to quantized sensor and friction nonlinearity.

Autoren: Lei, Huijie Zhang, Yanwei Lu, Xikun

Quelle: PLoS ONE; 4/29/2025, Vol. 20 Issue 4, p1-25, 25p

Schlagwörter: ADAPTIVE filters, NONLINEAR systems, PARAMETER estimation, NONLINEAR theories, TEST systems

Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries.

Autoren: Hu, Chong Liu, Haibo Ji, Yan

Quelle: International Journal of Robust & Nonlinear Control; Dec2023, Vol. 33 Issue 18, p11411-11433, 23p

Schlagwörter: PARAMETER estimation, ONLINE databases, STOCHASTIC convergence, LITHIUM-ion batteries, AUTOREGRESSIVE models, ALGORITHMS, ELECTRIC batteries