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Iterative Sparse Identification of Nonlinear Dynamics [PDF]
IEEE Open Journal of Signal Processing, 2023 In order to extract governing equations from time-series data, various approaches are proposed. Among those, sparse identification of nonlinear dynamics (SINDy) stands out as a successful method capable of modeling governing equations with a minimal ...
Jinho Choi
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Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise [PDF]
Complexity, 2018 This paper considers the parameter identification of Wiener systems with colored noise. The difficulty in the identification is that the model is nonlinear and the intermediate variable cannot be measured.
Junhong Li, Xiao Li
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Iterative approach to model identification of biological networks [PDF]
BMC Bioinformatics, 2005 Background Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes.
Gunawan Rudiyanto +2 more
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Decomposition Least-Squares-Based Iterative Identification Algorithms for Multivariable Equation-Error Autoregressive Moving Average Systems [PDF]
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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Accurate identification for control: the necessity of an iterative scheme
IEEE Transactions on Automatic Control, 1992 Summary: If approximation identification and model-based control design are used to accomplish a high-performance control system, then the two procedures have to be treated as a joint problem. Solving this joint problem by means of separate identification and control design procedures practically entails an iterative scheme.
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Iterative human and automated identification of wildlife images [PDF]
Nature Machine Intelligence, 2021 This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections.
Zhongqi Miao +5 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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Blind iterative channel identification and equalization [PDF]
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2002 We propose an iterative solution to the problem of blindly and jointly identifying the channel response and transmitted symbols in a digital communications system. The proposed algorithm iterates between a symbol estimator, which uses tentative channel estimates to provide soft symbol estimates, and a channel estimator, which uses the symbol estimates ...
Renato Rocha Lopes, John R. Barry
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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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