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Braking Force Control for Direct-Drive Brake Units Based on Data-Driven Adaptive Control
MachinesTo address the increasing demands for faster response and higher control accuracy in the braking systems of electric and intelligent vehicles, a novel brake-by-wire actuation unit and its braking force control methods are proposed.
Chunrong He +6 more
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Direct data-driven control of linear parameter-varying systems [PDF]
52nd IEEE Conference on Decision and Control, 2013 In many control applications, nonlinear plants can be modeled as linear parameter-varying (LPV) systems, by which the dynamic behavior is assumed to be linear, but also dependent on some measurable signals, e.g., operating conditions. When a measured data set is available, LPV model identification can provide low complexity linear models that can embed
Simone Formentin +3 more
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Robust direct data-driven control for probabilistic systems
Systems & Control LettersPublished by Elsevier, Amsterdam [u.a.]
Alexander von Rohr +2 more
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Direct Data-Driven State-Feedback Control of General Nonlinear Systems
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 Accepted for the 62nd IEEE Conference on Decision and Control (CDC2023)
Chris Verhoek +3 more
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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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Set-Theoretic Direct Data-driven Predictive Control
2025 European Control Conference (ECC)Designing the terminal ingredients of direct data-driven predictive control presents challenges due to its reliance on an implicit, non-minimal input-output data-driven representation. By considering the class of constrained LTI systems with unknown time delays, we propose a set-theoretic direct data-driven predictive controller that does not require a
Mohammad Bajelani +2 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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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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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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