Results 1 to 10 of about 3,980,279 (204)

Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise [PDF]

open access: yesComplexity, 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
doaj   +3 more sources

Decomposition Least-Squares-Based Iterative Identification Algorithms for Multivariable Equation-Error Autoregressive Moving Average Systems

open access: yesMathematics, 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
doaj   +4 more sources

Iterative human and automated identification of wildlife images [PDF]

open access: yesNature Machine Intelligence, 2021
This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections.
Zhongqi Miao   +5 more
openaire   +3 more sources

The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise

open access: yesComplexity, 2017
This paper considers the identification problem of multi-input-output-error autoregressive systems. A hierarchical gradient based iterative (H-GI) algorithm and a hierarchical least squares based iterative (H-LSI) algorithm are presented by using the ...
Jiling Ding
doaj   +2 more sources

Iterative approach to model identification of biological networks [PDF]

open access: yesBMC Bioinformatics, 2005
Background Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes.
Gunawan Rudiyanto   +2 more
doaj   +3 more sources

Iterative Sparse Identification of Nonlinear Dynamics

open access: yesIEEE 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
doaj   +3 more sources

An Extended Iterative Identification Method for the GISSMO Model

open access: yesMetals, 2019
This study examines an extended method to obtain the parameters in the Generalized Incremental Stress State Dependent Damage (GISSMO) model. This method is based on an iterative Finite Element Method (FEM) method aiming at predicting the fracture ...
Yue Xiao, Yumei Hu
doaj   +2 more sources

Accurate identification for control: the necessity of an iterative scheme

open access: yesIEEE 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.
exaly   +5 more sources

Parameter Estimation Algorithms for Hammerstein Finite Impulse Response Moving Average Systems Using the Data Filtering Theory

open access: yesMathematics, 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
doaj   +1 more source

Iterative parameter estimation methods for dual‐rate sampled‐data bilinear systems by means of the data filtering technique

open access: yesIET 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
doaj   +1 more source

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