Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems [PDF]
Journal of Applied Mathematics, 2013 This paper focuses on the identification problem of Wiener nonlinear systems. The application of the key-term separation principle provides a simplified form of the estimated parameter model.
Lincheng Zhou, Xiangli Li, Feng Pan
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The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise [PDF]
Complexity, 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
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An iterative algorithm for Hamiltonian identification of quantum systems [PDF]
2016 IEEE 55th Conference on Decision and Control (CDC), 2016 Identifying parameters in the system Hamiltonian is a vitally important task in the development of quantum technology. This paper investigates the problem of Hamiltonian identification for closed quantum systems and develops a new algorithm to achieve the task of identifying the Hamiltonian.
Wang, Y, Qi, B, Dong, D, Petersen, IR
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Predictive Iterative Learning Speed Control With On-Line Identification for Ultrasonic Motor [PDF]
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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Iterative learning control of high-acceleration positioning table via sensitivity identification [PDF]
Advances in Mechanical Engineering, 2016 Through the convergence analysis of the iterative learning control, it can be seen that the inverted model of the sensitivity can be used as the update law of iterative learning controller. However, due to the little knowledge in modeling uncertainty and
Jing Cui, Zhongyi Chu, Difan Wang
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Knowledge-Fusion-Based Iterative Graph Structure Learning Framework for Implicit Sentiment Identification [PDF]
Sensors, 2023 Implicit sentiment identification is a significant classical task in text analysis. Graph neural networks (GNNs) have recently been successful in implicit sentiment identification, but the current approaches still suffer from two problems.
Yuxia Zhao +3 more
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METHOD OF ITERATIVE IDENTIFICATION OF MULTIVARIABLE SYSTEMS OVER INEXAСT DATA. Part ІІ. ALGORITHMS
Міжнародний науково-технічний журнал "Проблеми керування та інформатики", 2007 The algorithms are developed to form one of the possible iterative schemes for multivariable linear dynamic system identification over inexact data. For realization of this scheme it is set what kind of identification experiments should be chosen and ...
V.F. Gubarev, P.А. Tigunov
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Iterative integral parameter identification of a respiratory mechanics model [PDF]
BioMedical Engineering OnLine, 2012 Background Patient-specific respiratory mechanics models can support the evaluation of optimal lung protective ventilator settings during ventilation therapy.
Schranz Christoph +4 more
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Neural Membrane Mutual Coupling Characterisation Using Entropy-Based Iterative Learning Identification [PDF]
IEEE Access, 2020 This paper investigates the interaction phenomena of the coupled axons while the mutual coupling factor is presented as a pairwise description. Based on the Hodgkin-Huxley model and the coupling factor matrix, the membrane potentials of the coupled ...
Xiafei Tang +3 more
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Iterative Solutions of a Set of Matrix Equations by Using the Hierarchical Identification Principle [PDF]
Abstract and Applied Analysis, 2014 This paper is concerned with iterative solution to a class of the real coupled matrix equations. By using the hierarchical identification principle, a gradient-based iterative algorithm is constructed to solve the real coupled matrix equations A1XB1 ...
Huamin Zhang
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