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The Recursive Identification of Stochastic Linear Dynamical Systems Simulation Study [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 This Paper deals with the recursive identification problem of stochastic linear dynamical systems , Important Algorithms are explained in the identification system domains that are time-varying, and using a recursive Least Square method with a famous ...
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Chinese Journal of Mechanical Engineering, 2023 Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from sensors, which degrades the modeling ...
Xinghao Du +6 more
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A Hybridization Grey Wolf Optimizer to Identify Parameters of Helical Hydraulic Rotary Actuator
Actuators, 2023 Based on the grey wolf optimizer (GWO) and differential evolution (DE), a hybridization algorithm (H-GWO) is proposed to avoid the local optimum, improve the diversity of the population, and compromise the exploration and exploitation appropriately.
Yukun Zheng +5 more
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Recursive identification algorithms
Circuits, Systems, and Signal Processing, 2002 Mechanisms for adapting models, filters, decisions, regulators, and so on to changing properties of a system or a signal are of fundamental importance in many modern signal processing and control a ...
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电力工程技术, 2023 Power battery performance plays a pivotal role in the comprehensive performance of electric vehicles, and thus accurate identification of the parameters of the lithium-ion battery model is crucial for subsequent state-of-charge estimation and state-of ...
ZHU Weiping +3 more
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A new fault diagnosis approach for the pitch system of wind turbines
Advances in Mechanical Engineering, 2017 To diagnose the fault in the pitch actuator of wind turbines which causes the change in pitch angles, a fault diagnosis method is proposed in this study.
Dinghui Wu, Wen Liu
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Recursive system identification by stochastic approximation [PDF]
Communications in Information and Systems, 2006 The convergence theorems for the stochastic approximation (SA) algorithm with expanding truncations are first presented, which the system identification methods discussed in the paper are essentially based on. Then, the recursive identification algorithms are respectively defined for the multivariate errors-in-variables systems, Hammerstein systems ...
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IET Renewable Power Generation, 2021 A fractional order equivalent circuit model with variable order can better reflect the internal reaction mechanism of a lithium‐ion battery, however, it is not easy to simultaneously identify the parameters and order of the fractional order model online.
Xiangdong Sun +4 more
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Shock and Vibration, 2017 Modal parameter estimation plays an important role in vibration-based damage detection and is worth more attention and investigation, as changes in modal parameters are usually being used as damage indicators.
Zhi-Sai Ma, Li Liu, Si-Da Zhou, Lei Yu
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International Journal of Applied Mathematics and Computer ScienceThe aim of this paper is to develop a new recursive identification algorithm for autoregressive (AR) models corrupted by additive white noise. The proposed approach relies on a set of both low-order and high-order Yule–Walker equations and on a modified ...
Barbieri Matteo, Diversi Roberto
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