Results 1 to 10 of about 2,984,455 (293)
Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise [PDF]
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
doaj +3 more sources
Iterative Sparse Identification of Nonlinear Dynamics
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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Iterative approach to model identification of biological networks [PDF]
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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Accurate identification for control: the necessity of an iterative scheme
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.
exaly +5 more sources
Iterative human and automated identification of wildlife images [PDF]
This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections.
Zhongqi Miao +5 more
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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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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
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
doaj +1 more source
Identification method of excitation forces based on Kalman filter
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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Blind iterative channel identification and equalization [PDF]
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
openaire +2 more sources

