Results 31 to 40 of about 772,875 (164)
Digital Twin–Enabled Data-Driven Strategy for Real-Time Thermal Control in Direct Hybrid Solar Dryers [PDF]
EPJ Web of ConferencesIn this study, a high-fidelity digital twin structure for the adaptive thermal regulation of hybrid direct solar dryer is proposed. Matlab's System Identification Toolbox was used to identify the dynamic models of the drying chamber temperature and ...
M’Boirick Camara +3 more
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IEEE Access, 2020 This paper studies the trajectory tracking control of a class of multi-agent systems, in which, each agent is expressed by a nonlinear discrete-time unknown dynamics and can interact with its neighbors via the history outputs of its neighbors.
Xinghong Zhang
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Frontiers in Energy Research, 2022 Due to the rapid development of economies, large urban cities consume an increasing amount of energy and have a higher requirement for power quality. Voltage source converter based high voltage direct current (VSC-HVDC) is a promising device to transmit ...
Buxin She, Yuqing Dong, Yilu Liu
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Direct data-driven model-reference control with Lyapunov stability guarantees [PDF]
2021 60th IEEE Conference on Decision and Control (CDC), 2021 In this work, we introduce a novel data-driven model-reference control design approach for unknown linear systems with fully measurable state. The proposed control action is composed by a static feedback term and a reference tracking block, which are shaped from data to reproduce the desired behavior in closed-loop.
Breschi V. +3 more
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Sensors, 2020 The evolution of industry towards the Industry 4.0 paradigm has become a reality where different data-driven methods are adopted to support industrial processes. One of them corresponds to Artificial Neural Networks (ANNs), which are able to model highly
Ivan Pisa +3 more
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On identification methods for direct data‐driven controller tuning
International Journal of Adaptive Control and Signal Processing, 2010 AbstractIn non‐iterative data‐driven controller tuning, a set of measured input/output data of the plant is used directly to identify the optimal controller that minimizes some control criterion. This approach allows the design of fixed‐order controllers, but leads to an identification problem where the input is affected by noise, and not the output as
van Heusden, Klaske +2 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Functional electrical stimulation (FES) is a promising technology for restoring reaching motions to individuals with upper-limb paralysis caused by a spinal cord injury (SCI).
Derek N. Wolf +2 more
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The neuron as a direct data-driven controller
Proceedings of the National Academy of SciencesIn the quest to model neuronal function amid gaps in physiological data, a promising strategy is to develop a normative theory that interprets neuronal physiology as optimizing a computational objective. This study extends current normative models, which primarily optimize prediction, by conceptualizing neurons as optimal feedback controllers. We posit
Jason J. Moore +5 more
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Advanced Data Collection and Analysis in Data-Driven Manufacturing Process
Chinese Journal of Mechanical Engineering, 2020 The rapidly increasing demand and complexity of manufacturing process potentiates the usage of manufacturing data with the highest priority to achieve precise analyze and control, rather than using simplified physical models and human expertise.
Ke Xu +6 more
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Energies, 2022 Offshore wind turbine drive train technology is evolving as developers increase size, aim to maximise availability and adapt to changing electricity grid requirements.
Alan Turnbull +3 more
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