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Model-Free Optimized Tracking Control Heuristic [PDF]
Robotics, 2020 Many tracking control solutions proposed in the literature rely on various forms of tracking error signals at the expense of possibly overlooking other dynamic criteria, such as optimizing the control effort, overshoot, and settling time, for example. In
Ning Wang +3 more
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International Journal of Control, 2013 "Model-free control" and the corresponding "intelligent" PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account.
Cedric Join
exaly +5 more sources
Model-Free Predictive Control and Its Applications
Energies, 2022 Predictive control offers many advantages such as simple design and a systematic way to handle constraints. Model predictive control (MPC) belongs to predictive control, which uses a model of the system for predictions used in predictive control. A major
Muhammad Nauman +2 more
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Mathematics, 2023 Effective control of rehabilitation robots is of paramount importance and requires increased attention to achieve a fully reliable, automated system for practical applications.
Hajid Alsubaie, Ahmed Alotaibi
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Model-Free HVAC Control in Buildings: A Review
Energies, 2023 The efficient control of HVAC devices in building structures is mandatory for achieving energy savings and comfort. To balance these objectives efficiently, it is essential to incorporate adequate advanced control strategies to adapt to varying ...
Panagiotis Michailidis +3 more
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Model-free control for machine tools
CoRR, 2020 Peer ...
Villagrá, Jorge +3 more
openaire +3 more sources
Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model
IEEE Access, 2022 In this paper, we present a data-driven tuning method for model-free control based on an ultra-local model (MFC-ULM), which is also called intelligent proportional-integral-derivative control.
Shuichi Yahagi, Itsuro Kajiwara
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Model-Free Control for Dynamic-Field Acoustic Manipulation Using Reinforcement Learning
IEEE Access, 2020 Dynamic-field acoustic manipulation techniques benefit numerous applications in microsystem assembly, pattern formation, biological research, tissue engineering, and lab-on-a-chip.
Kourosh Latifi, Artur Kopitca, Quan Zhou
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Intelligent PI control based on the ultra-local model and Kalman filter for vehicle yaw-rate control
SICE Journal of Control, Measurement, and System Integration, 2023 This paper proposes an intelligent proportional integral (PI) control based on an ultra-local model and a Kalman filter with automatic parameter tuning for vehicle yaw-rate control.
Shuichi Yahagi, Motoya Suzuki
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Journal of Marine Science and Engineering, 2023 Renewable energy generation is increasingly important due to serious energy issues. A Doubly Salient Permanent Magnet Generator (DSPMG) can be an interesting candidate for tidal stream renewable energy systems.
Hao Chen +5 more
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