Results 21 to 30 of about 10,936 (259)

Sliding Mode Control for Hypersonic Vehicle Based on Extreme Learning Machine Neural Network Disturbance Observer

IEEE Access, 2022
The novel extreme learning machine (ELM) neural network disturbance observer (NNDO) -based sliding mode control (SMC) strategy is proposed for the precise tracking control of a hypersonic vehicle (HV) under various disturbance situations.
Haiyan Gao, Weiqiang Tang, Rong Fu
doaj   +1 more source

Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine

Energies, 2019
Model-free adaptive control (MFAC) builds a virtual equivalent dynamic linearized model by using a dynamic linearization technique. The virtual equivalent dynamic linearized model contains some time-varying parameters, time-varying parameters usually ...
Xiaofei Zhang, Hongbin Ma
doaj   +1 more source

Improved Extreme Learning Machine Based UWB Positioning for Mobile Robots with Signal Interference

Machines, 2022
For the purpose of tackling ultra-wideband (UWB) indoor positioning with signal interference, a binary classifier for signal interference discrimination and positioning errors compensation model combining genetic algorithm (GA) and extreme learning ...
Jun Ma, Xuechao Duan, Chen Shang, Mengjiao Ma, Dan Zhang   +4 more
doaj   +1 more source

Continuous observation of filaments from the confined region to the far scrape-off layer

Nuclear Materials and Energy, 2020
The thermal helium beam diagnostic at ASDEX Upgrade can access the whole plasma edge region simultaneously with a high spatiotemporal resolution. Manifold dynamics of plasma edge transport is observed for different plasma confinement regimes, comprising ...
M. Griener, E. Wolfrum, G. Birkenmeier, M. Faitsch, R. Fischer, G. Fuchert, L. Gil, G.F. Harrer, P. Manz, D. Wendler, U. Stroth   +10 more
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ELM-Based Adaptive Practical Fixed-Time Voltage Regulation in Wireless Power Transfer System

Energies, 2023
This paper proposes an extreme learning machine (ELM)-based adaptive sliding mode control strategy for the receiver-side buck converter system in the wireless power transfer system subjecting to the lumped uncertainty.
Youhao Hu, Bowang Zhang, Weikang Hu, Wei Han   +3 more
doaj   +1 more source

Analytic stability criteria for edge MHD oscillations in high performance ELM free tokamak regimes [PDF]

Nuclear Fusion, 2017
A new dispersion relation, and associated stability criteria, is derived for low-n external kink and infernal modes, and is applied to modelling the stability properties of quiescent H-mode like regimes. The analysis, performed in toroidal geometry with large edge pressure gradients associated with a local flattening of the safety factor, includes a ...
Brunetti D, Graves J P, Lazzaro E, Mariani A, Nowak S, Cooper W A, Wahlberg C   +6 more
openaire   +3 more sources

Experimental validation of a model for particle recycling and tungsten erosion during ELMs in the DIII-D divertor

Nuclear Materials and Energy, 2018
A refined version of the Fundamenksi-Moulton 'free-streaming' model (FSM) for the dynamics of divertor density, particle flux, and heat flux during edge localized modes (ELMs) is presented.
T. Abrams, E.A. Unterberg, A.G. McLean, D.L. Rudakov, W.R. Wampler, M. Knolker, C. Lasnier, A.W. Leonard, P.C. Stangeby, D.M. Thomas, H.Q. Wang   +10 more
doaj   +1 more source

Novel imaging biomarkers for mapping the impact of mild mitochondrial uncoupling in the outer retina in vivo.

PLoS ONE, 2020
PurposeTo test the hypothesis that imaging biomarkers are useful for evaluating in vivo rod photoreceptor cell responses to a mitochondrial protonophore.MethodsIntraperitoneal injections of either the mitochondrial uncoupler 2,4 dinitrophenol (DNP) or ...
Bruce A Berkowitz, Hailey K Olds, Collin Richards, Joydip Joy, Tilman Rosales, Robert H Podolsky, Karen Lins Childers, W Brad Hubbard, Patrick G Sullivan, Shasha Gao, Yichao Li, Haohua Qian, Robin Roberts   +12 more
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Epileptic Patient Activity Recognition System Using Extreme Learning Machine Method

Biomedicines, 2023
The Human Activity Recognition (HAR) system is the hottest research area in clinical research. The HAR plays a vital role in learning about a patient’s abnormal activities; based upon this information, the patient’s psychological state can be estimated ...
Ummara Ayman, Muhammad Sultan Zia, Ofonime Dominic Okon, Najam-ur Rehman, Talha Meraj, Adham E. Ragab, Hafiz Tayyab Rauf   +6 more
doaj   +1 more source

The separatrix operational space of next-step fusion experiments: From ASDEX Upgrade data to SPARC scenarios

Nuclear Materials and Energy
Fusion power plants require ELM-free, detached operation to prevent divertor damage and erosion. The separatrix operational space (SepOS) is proposed as a tool for identifying access to the type-I ELM-free quasi-continuous exhaust regime.
T. Eich, T. Body, M. Faitsch, O. Grover, M.A. Miller, P. Manz, T. Looby, A.Q. Kuang, A. Redl, M. Reinke, A.J. Creely, D. Battaglia, J. Hillesheim, M. Wigram, J.W. Hughes   +14 more
doaj   +1 more source