Results 21 to 30 of about 3,989,194 (339)
Mathematics, 2022 For multi-phase batch processes with different dimensions whose dynamics can be described as a linear discrete-time-invariant system in each phase, a data-driven optimal ILC was explored using multi-operation input and output data that subordinate a ...
Yan Geng, Shouqin Wang, Xiaoe Ruan
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A novel Fourier-based deconvolution algorithm with improved efficiency and convergence
Journal of Low Frequency Noise, Vibration and Active Control, 2020 Various deconvolution algorithms for acoustic source are developed to improve spatial resolution and suppress sidelobe of the conventional beamforming. To improve the computational efficiency and solution convergence of deconvolution, this paper proposes
Linbang Shen +3 more
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Predictive Iterative Learning Speed Control With On-Line Identification for Ultrasonic Motor
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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Iterated diffusion maps for feature identification
Applied and Computational Harmonic Analysis, 2018 Recently, the theory of diffusion maps was extended to a large class of local kernels with exponential decay which were shown to represent various Riemannian geometries on a data set sampled from a manifold embedded in Euclidean space. Moreover, local kernels were used to represent a diffeomorphism, H, between a data set and a feature of interest using
Berry, Tyrus, Harlim, John
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Iterative Method for Exponential Damping Identification
Computer-Aided Civil and Infrastructure Engineering, 2015 A new potential damping model for the dynamic analysis of systems is called exponential damping. This article shows that the finite element model updated method for the systems with exponential damping can accurately predict not only the natural frequencies but also the frequency response functions (FRFs) of the systems.
Yuhua Pan, Yuanfeng Wang
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Journal of Applied Mathematics, 2014 The identification of a class of linear-in-parameters multiple-input single-output systems is considered. By using the iterative search, a least-squares based iterative algorithm and a gradient based iterative algorithm are proposed.
Cheng Wang, Tao Tang, Dewang Chen
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Iterative LBG clustering for SIMO channel identification
Journal of Communications and Networks, 2003 This paper deals with the problem of channel identification for Single Input Multiple Output (SIMO) slow fading channels using clustering algorithms. Due to the intrinsic memory of the discrete-time model of the channel, over short observation periods, the received data vectors of the SIMO model are spread in clusters because of the AWGN noise.
Laddomada, Massimiliano, Daneshgaran, F.
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Improving Person Re-Identification With Iterative Impression Aggregation [PDF]
IEEE Transactions on Image Processing, 2020 Our impression about one person often updates after we see more aspects of him/her and this process keeps iterating given more meetings. We formulate such an intuition into the problem of person re-identification (re-ID), where the representation of a query (probe) image is iteratively updated with new information from the candidates in the gallery ...
Dengpan Fu +6 more
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IEEE Access, 2018 This paper focuses on the parameter estimation of a class of bilinear systems, for which the input-output representation is derived by eliminating the state variables in the systems.
Meihang Li, Ximei Liu
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Complexity, 2018 This paper investigates the identification problem for a class of input nonlinear systems whose disturbance is in the form of the moving average model.
Cheng Wang, Kaicheng Li, Shuai Su
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