Results 131 to 140 of about 1,806,397 (284)

A compensation method for PMSM sensorless control with parameter identification considering SMO observation error

IET Electric Power Applications
Sensorless control of permanent magnet synchronous motor (PMSM) can increase the reliability of electric actuators of more electrical aircraft. Numerical online parameter estimation method will enhance the performance for sensorless control methods based
Ruizhi Guan, Jinglin Liu, Mengqi Li, Minglang Xiao, Xinran Shi   +4 more
doaj   +1 more source

Maximum Likelihood Estimation and Uniform Inference with Sporadic Identification Failure [PDF]

This paper analyzes the properties of a class of estimators, tests, and confidence sets (CS's) when the parameters are not identified in parts of the parameter space.
Donald W. K. Andrews, Xu Cheng
core  

Parameter identification of additional forces and torques for simulated space manipulator in zero-g simulation system

, 2020
Sihui Tian, Xiaoqiang Tang, Yuqi Li
openalex   +1 more source

A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel [PDF]

, 2015
Stanisław Bańka, Michał Brasel, P. Dworak, Krzysztof Jaroszewski   +3 more
openalex   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Identification of Multi-Innovation Stochastic Gradients with Maximum Likelihood Algorithm Based on Ship Maneuverability and Wave Peak Models

Journal of Marine Science and Engineering
This paper investigates the problem of real-time parameter identification for ship maneuvering parameters and wave peak frequency in an ocean environment. Based on the idea of Euler discretion, a combined model of ship maneuvering and wave peak frequency
Yang Liu, Qiang Zhang, Longjin Wang, Shun An, Yan He, Zhimin Fan, Fang Deng   +6 more
doaj   +1 more source

Parameter identification from single trajectory data: from linear to nonlinear [PDF]

, 2022
Xiaoyu Duan, Jonathan E. Rubin, David Swigon   +2 more
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Online Parameter Identification for PMSM Based on Multi-Innovation Extended Kalman Filtering

Journal of Marine Science and Engineering
Subject to magnetic saturation, temperature rise, and other factors, the electrical parameters of permanent magnet synchronous motors (PMSMs) in marine electric propulsion systems exhibit time-varying characteristics.
Chuan Xiang, Xilong Liu, Zilong Guo, Hongge Zhao, Jingxiang Liu   +4 more
doaj   +1 more source

Set identification with Tobin regressors [PDF]

We give semiparametric identification and estimation results for econometric models with a regressor that is endogenous, bound censored and selected,called a Tobin regressor. First, we show that true parameter value is set identified and characterize the
Roberto Rigobon, Thomas Stoker, Victor Chernozhukov   +2 more
core