Results 11 to 20 of about 124,023 (246)
Iterative approach to model identification of biological networks [PDF]
BMC Bioinformatics, 2005 Abstract Background Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is introduced for model identification using available system knowledge and experimental measurements. Results
Gunawan Rudiyanto +2 more
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Mathematics, 2022 This paper considers the parameter estimation problems of Hammerstein finite impulse response moving average (FIR–MA) systems. Based on the matrix transformation and the hierarchical identification principle, the Hammerstein FIR–MA system is recast into ...
Yan Ji, Jinde Cao
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IET Control Theory & Applications, 2021 This paper considers the iterative parameter estimation for a dual‐rate sampled‐data bilinear system with autoregressive moving average noise. Through combining the auxiliary model identification idea with the data filtering technique, this paper derives
Meihang Li, Ximei Liu
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Adaptive Iterative Learning Identification Strategy for Macroscopic Traffic Flow Model
Taiyuan Ligong Daxue xuebao, 2023 The traffic flow system of urban road network has strong randomness and time-varying nature, and it is difficult for a single fixed traffic flow model to accurately describe the actual operation of urban road network.
Jiangchen QIU, Fei YAN, Jianyan TIAN
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Identification method of excitation forces based on Kalman filter
Applied Mathematics in Science and Engineering, 2022 To identify the excitation forces of a vibration system, two identification methods are proposed, which take the displacement and acceleration responses of the system as input parameters.
Xiao-Ang Liu +5 more
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Algorithms, 2016 This paper discusses the parameter estimation problems of multi-input output-error autoregressive (OEAR) systems. By combining the auxiliary model identification idea and the data filtering technique, a data filtering based recursive generalized least ...
Jiling Ding
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Mathematics, 2022 For multi-phase batch processes with different dimensions whose dynamics can be described as a linear discrete-time-invariant system in each phase, a data-driven optimal ILC was explored using multi-operation input and output data that subordinate a ...
Yan Geng, Shouqin Wang, Xiaoe Ruan
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Mathematics, 2019 This paper is concerned with the identification problem for multivariable equation-error systems whose disturbance is an autoregressive moving average process. By means of the hierarchical identification principle and the iterative search, a hierarchical
Lijuan Wan +3 more
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A novel Fourier-based deconvolution algorithm with improved efficiency and convergence
Journal of Low Frequency Noise, Vibration and Active Control, 2020 Various deconvolution algorithms for acoustic source are developed to improve spatial resolution and suppress sidelobe of the conventional beamforming. To improve the computational efficiency and solution convergence of deconvolution, this paper proposes
Linbang Shen +3 more
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Predictive Iterative Learning Speed Control With On-Line Identification for Ultrasonic Motor
IEEE Access, 2020 Aiming at the needs of ultrasonic motor motion control, a new two-dimensional (2D) predictive control objective function is proposed. Different from the existing methods, the objective function consists of three terms, including the product of the ...
Shi Jingzhuo, Wenwen Huang
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