Results 41 to 50 of about 1,084,598 (183)
A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors
IEEE Open Journal of the Industrial Electronics Society, 2021 Torque control of electric drives is a challenging task, as high dynamics need to be achieved despite different input and state constraints while also pursuing secondary objectives, e.g., maximizing power efficiency. Whereas most state-of-the-art methods
Maximilian Schenke, Oliver Wallscheid
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Machine Learning for Monitoring and Control of Ngl Recovery Plants
Chemical Engineering Transactions, 2021 In this contribution, the monitoring and control problem of the natural gas liquids (NGL) extraction process is addressed by exploiting a data-driven approach.
Marta Mandis +4 more
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Formation Control of Non-Holonomic Mobile Robots: Predictive Data-Driven Fuzzy Compensator
Mathematics, 2023 A key research topic in the field of robotics is the formation control of a group of robots in trajectory tracking problems. Using organized robots has many advantages over using them individually, such as efficient use of resources, increased ...
Jinfeng Wang +5 more
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Noniterative Data-Driven Gain-Scheduled Controller Design Based on Fictitious Reference Signal
IEEE Access, 2023 This paper proposes a noniterative direct data-driven gain-scheduled control. Gain-scheduled proportional–integral–derivative (PID) control is one of the most popular approaches for nonlinear systems.
Shuichi Yahagi, Itsuro Kajiwara
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Two-Degree-of-Freedom Controller Design Based on a Data-Driven Estimation Approach
IEEE Access, 2022 Data-driven control design is a method to create and tune controllers directly from the initial experimental data without a mathematical model to be controlled. Tracking and disturbance suppression are necessary to control real systems.
Tatsunari Sakai +2 more
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Direct data‐driven design of switching controllers
International Journal of Robust and Nonlinear Control, 2019 SummarySwitching linear models can be used to represent the behavior of hybrid, time‐varying, and nonlinear systems, while generally providing a satisfactory trade‐off between accuracy and complexity. Although several control design techniques are available for such models, the effect of modeling errors on the closed‐loop performance has not been ...
Breschi V., Formentin S.
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Journal of Advances in Modeling Earth Systems, 2023 Resampling‐based weather generators simulate new time series of weather variables by reordering the observed values such that the statistics of the simulated data are consistent with the observed ones.
Jorge Guevara +10 more
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Optimal Data-Driven Control of an LCC HVDC System for Real-Time Grid Frequency Regulation
IEEE Access, 2020 Recent advances in data sensing and processing technologies enable data-driven control of high-voltage direct-current (HVDC) systems for improving the operational stability of interfacing power grids.
Do-Hoon Kwon, Young-Jin Kim
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Data-driven control of nonlinear systems: An on-line direct approach [PDF]
Automatica, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marko Tanaskovic +3 more
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IEEE Access, 2019 To get better control performance in motor control, more and more researches tend to apply non-linear control laws in the field of motor control. However, most conventional non-linear control theory is based on explicit model of controlled object and ...
Baochao Wang +4 more
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