Results 61 to 70 of about 519,710 (307)

Identification Approach for Nonlinear MIMO Dynamics of Closed-Loop Active Magnetic Bearing System

Applied Sciences, 2022
A systematic identification approach for the rotor/radial active magnetic bearing (rotor/RAMB) system is presented in this study. First, the system identification of the controller of commercial TMP is undertaken, and the corresponding linear dynamic ...
Hsin-Lin Chiu
doaj   +1 more source

Sparse Identification of Nonlinear Duffing Oscillator From Measurement Data

, 2018
In this paper we aim to apply an adaptation of the recently developed technique of sparse identification of nonlinear dynamical systems on a Duffing experimental setup with cubic feedback of the output.
Crevecoeur, Guillaume, Dekemele, Kevin, Dupre, Luc, Goharoodi, Saeideh Khatiry, Loccufier, Mia   +4 more
core   +1 more source

Variational system identification for nonlinear state-space models

Automatica, 2023
This paper considers parameter estimation for nonlinear state-space models, which is an important but challenging problem. We address this challenge by employing a variational inference (VI) approach, which is a principled method that has deep connections to maximum likelihood estimation.
Courts, Jarrad, Wills, Adrian G., Schön, Thomas B., Ninness, Brett   +3 more
openaire   +2 more sources

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

Aging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss, Alexis C. Wardell, Allison M. Deal, Kirsten A. Nyrop, Allison Ross, Yara G. Abdou, Jeffrey D. Aldrich, Lisa A. Cary, E. Claire Dees, Katherine E. Reeder‐Hayes, Emily M. Ray, Natalia Mitin, Denis Tsygankov   +12 more
wiley   +1 more source

Identification of High-Order Linear Time-Invariant Models from Periodic Nonlinear System Responses

Aerospace
This paper presents a novel step in the extension of subspace identification toward the direct identification of harmonic decomposition linear time-invariant models from nonlinear time-periodic system responses.
Mahmoud A. Hayajnh, Umberto Saetti, J. V. R. Prasad   +2 more
doaj   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Neural Modeling and Control of Diesel Engine with Pollution Constraints [PDF]

, 2005
The paper describes a neural approach for modelling and control of a turbocharged Diesel engine. A neural model, whose structure is mainly based on some physical equations describing the engine behaviour, is built for the rotation speed and the exhaust ...
D. Psaltis, D. T. Pham, E. S. Plumer, F. C. Chen, G. Bloch, G�rard Bloch, I. Rivals, J. P. Vila, K. J. Hunt, K. J. Hunt, K. S. Narendra, K. S. Narendra, L. Ljung, M. Blanke, M. Nørgaard, Mustapha Ouladsine, S. Chen, Xavier Dovifaaz   +17 more
core   +3 more sources

Identification of nonlinear-nonlinear neuron models and stimulus decoding [PDF]

BMC Neuroscience, 2013
The majority of neural encoding models employed today consist of a linear feature-selection stage followed by a static memoryless nonlinearity generating the neuronal rate of response. Although such linear-nonlinear (LN) models have been proven useful in characterizing computation in many neurons (see [1] and references therein), they exclude the ...
Lazar, Aurel A, Slutskiy, Yevgeniy B
openaire   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

Active vibration control using nonlinear auto-regressive neural network to identify secondary channel

Journal of Low Frequency Noise, Vibration and Active Control, 2023
The power unit on board the ship generates periodic low-frequency vibration that affects the normal operation of the equipment on board, and the adaptive feedforward control algorithm can effectively suppress such harmful vibration noise.
Song Chun-sheng, Xiong Xue-chun, Yang Qi, Jia Bo, Chen Bo-yuan, Liang Ya-ru, Fang Hai-ning   +6 more
doaj   +1 more source