Results 21 to 30 of about 2,984,455 (293)
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
doaj +1 more source
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
openaire +4 more sources
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
doaj +1 more source
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
openaire +1 more source
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
doaj +1 more source
Iterative learning control of high-acceleration positioning table via sensitivity identification
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
doaj +1 more source
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
doaj +1 more source
A 2D systems approach to iterative learning control for discrete linear processes with zero Markov parameters [PDF]
, 2011 In this paper a new approach to iterative learning control for the practically relevant case of deterministic discrete linear plants with uniform rank greater than unity is developed.
Cai, Z +11 more
core +2 more sources
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
doaj +1 more source
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.
openaire +3 more sources