Results 11 to 20 of about 3,989,194 (339)
Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems [PDF]
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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An iterative algorithm for Hamiltonian identification of quantum systems
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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Iterative learning control of high-acceleration positioning table via sensitivity identification
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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Iterative integral parameter identification of a respiratory mechanics model [PDF]
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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Iterative Solutions of a Set of Matrix Equations by Using the Hierarchical Identification Principle [PDF]
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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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
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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
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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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Seeded iterative clustering for histology region identification
Annotations are necessary to develop computer vision algorithms for histopathology, but dense annotations at a high resolution are often time-consuming to make. Deep learning models for segmentation are a way to alleviate the process, but require large amounts of training data, training times and computing power.
Eduard Chelebian +2 more
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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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