Results 61 to 70 of about 1,084,598 (183)
Aerospace, 2021 One of the most important parts of a turboshaft engine, which has a direct impact on the performance of the engine and, as a result, on the performance of the propulsion system, is the engine fuel control system.
Maria Grazia De Giorgi +2 more
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Nuclear Engineering and Technology, 2020 Most of the machine learning-based intrusion detection tools developed for Industrial Control Systems (ICS) are trained on network packet captures, and they rely on monitoring network layer traffic alone for intrusion detection.
Abiodun Ayodeji +3 more
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IEEE AccessReinforcement learning (RL) algorithms enable automated controller configuration without plant-specific parameter knowledge and allow consideration of multiple objectives in a single training phase.
Max Schenke +2 more
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Gene expression regulation by retinoic acid
Journal of Lipid Research, 2002 Over the last quarter century, more than 532 genes have been put forward as regulatory targets of retinoic acid. In some cases this control is direct, driven by a liganded heterodimer of retinoid receptors bound to a DNA response element; in others, it ...
James E. Balmer, Rune Blomhoff
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Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods
IEEE Access, 2021 The convergence of legacy power system components with advanced networking and communication facilities have led towards the development of smart grids.
Ahlam Althobaiti +3 more
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Data‐Driven Navigation of Ferromagnetic Soft Continuum Robots Based on Machine Learning
Advanced Intelligent Systems, 2023 Ferromagnetic soft continuum robots (FSCRs) have great potential in biomedical applications due to their miniaturization and remote control capabilities. However, to direct the FSCR accurately and effectively, it is critical to realize inverse kinematics
Yangyang Ni +5 more
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Data‐driven predictive direct load control of refrigeration systems
IET Control Theory & Applications, 2015 A predictive control using subspace identification is applied for the smart grid integration of refrigeration systems under a direct load control scheme. A realistic demand response scenario based on regulation of the electrical power consumption is considered. A receding horizon optimal control is proposed to fulfil two important objectives: to secure
Shafiei, Seyed Ehsan +3 more
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A kernel-based nonparametric approach to direct data-driven control of LTI systems
, 2018 In this work we propose a kernel-based robust nonparametric approach to direct data-driven control of linear systems, in the presence of bounded noise affecting the measurements data.
V. Cerone +3 more
semanticscholar +1 more source
Hyper-Data: A Matlab based optimization software for data-driven hyperelasticity
SoftwareXIn this work, a parameter identification software for the data-driven hyperelasticity frameworks proposed by Dal et al. (Journal of the Mechanics and Physics of Solids 179, 105381, 2023), and Tikenoğullarıet al.
Recep Durna +3 more
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Data-Driven Adaptive Control for Laser-Based Additive Manufacturing with Automatic Controller Tuning
Applied Sciences, 2020 Closed-loop control is desirable in direct energy deposition (DED) to stabilize the process and improve the fabrication quality. Most existing DED controllers require system identifications by experiments to obtain plant models or layer-dependent ...
Lequn Chen +5 more
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