Results 11 to 20 of about 8,982 (215)
Frontiers in Robotics and AI, 2022 Model predictive control is a widely used optimal control method for robot path planning and obstacle avoidance. This control method, however, requires a system model to optimize control over a finite time horizon and possible trajectories. Certain types
Ahmad AlAttar +3 more
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CoRR, 2016 State of the art deep reinforcement learning algorithms take many millions of interactions to attain human-level performance. Humans, on the other hand, can very quickly exploit highly rewarding nuances of an environment upon first discovery. In the brain, such rapid learning is thought to depend on the hippocampus and its capacity for episodic memory.
Charles Blundell +8 more
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IEEE Access, 2018 In this paper, a new structure to design model-free control (MFC) based on the ultra-local model is presented for an unknown nonlinear single-input single-output dynamic system.
Ali Safaei +1 more
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Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services
IEEE Access, 2020 A transition from generation on demand to consumption on demand is one of the solutions to overcome the many limitations associated with the higher penetration of renewable energy sources.
Kadir Amasyali +4 more
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A proof of stability of model-free control [PDF]
2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW), 2014 Cybernetics involves Control Theory and Control Practice. From its roots, Cybernetics has always been intimately to Control. The paper is devoted to the proof of an important theorem for the development of control: the closed loop stability of control laws that are calculated in the framework of model-free control.
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Speed-Adaptive Model-Free Path-Tracking Control for Autonomous Vehicles: Analysis and Design
Vehicles, 2023 One of the challenges of autonomous driving is to increase the number of situations in which an intelligent vehicle can continue to operate without human intervention.
Marcos Moreno-Gonzalez +4 more
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Machines, 2021 Robotic exoskeletons have great potential in the medical rehabilitation and augmentation of human performance in a variety of tasks. Proposing effective and adaptive control strategies is one of the most challenging issues for exoskeleton systems to work
Jiaqi Liu, Hongbin Fang, Jian Xu
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Buildings, 2022 Model-free reinforcement learning (RL) techniques are currently drawing attention in the control of heating, ventilation, and air-conditioning (HVAC) systems due to their minor pre-conditions and fast online optimization. The simultaneous optimal control
Shunian Qiu +3 more
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Intelligent-PID with PD Feedforward Trajectory Tracking Control of an Autonomous Underwater Vehicle
Machines, 2023 This paper investigates the model-free trajectory tracking control problem for an autonomous underwater vehicle (AUV) subject to the ocean currents, external disturbances, measurement noise, model parameter uncertainty, initial tracking errors, and ...
Zafer Bingul, Kursad Gul
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Model-Free Gradient-Based Adaptive Learning Controller for an Unmanned Flexible Wing Aircraft
Robotics, 2018 Classical gradient-based approximate dynamic programming approaches provide reliable and fast solution platforms for various optimal control problems. However, their dependence on accurate modeling approaches poses a major concern, where the efficiency ...
Mohammed Abouheaf +2 more
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