The wiped film molecular distillation is a molecular still with a rotating scraped film structure, which has the advantages of fast separation and high purity. In this paper, Distributed Control System (DCS) is used t...
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This paper introduces a new Electric Spring topology-Photovoltaic and Energy Storage System Electric Spring. On the basis of the common topology electric spring-2(ES-2), the power supply that provides DC bus voltage i...
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Smart homes entail the integration of wireless communication and sensor technologies to enhance traditional homes by incorporating Internet of Things (IoT) enabled smart appliances. These appliances offer automation a...
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This paper investigates the advantages and boundaries of actor-critic reinforcement learning algorithms in an industrial setting. We compare and discuss Cycle of Learning, Deep Deterministic Policy Gradient and Twin D...
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ISBN:
(数字)9781665490429
ISBN:
(纸本)9781665490429
This paper investigates the advantages and boundaries of actor-critic reinforcement learning algorithms in an industrial setting. We compare and discuss Cycle of Learning, Deep Deterministic Policy Gradient and Twin Delayed Deep Deterministic Policy Gradient with respect to performance in simulation as well as on a real robot setup. Furthermore, it emphasizes the importance and potential of combining demonstrated expert behavior with the actor-critic reinforcement learning setting while using it with an admittance controller to solve an industrial assembly task. Cycle of Learning and Twin Delayed Deep Deterministic Policy Gradient showed to be equally usable in simulation, while Cycle of Learning proved to be best on a real world application due to the behavior cloning loss that enables the agent to learn rapidly. The results also demonstrated that it is a necessity to incorporate an admittance controller in order to transfer the learned behavior to a real robot.
The task scheduling problem in Fog Computing environments generally studies the scheduling strategy between tasks and computing resources, seeking a solution based on task scheduling execute time and performance optim...
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Home automation is a technology that is often viewed as a luxury and not a necessity. The means of achieving home automation is always considered expensive and inconvenient in the long run. Due to this there is no suc...
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Face recognition has become a hot research topic in many fields such as biometric recognition and pattern recognition. By processing face images, different features of faces are extracted for matching and recognition....
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PID (Proportional Integral Derivative) control algorithm is often used to control the speed and position of brushless direct current motors. In this paper, according to the basic structure and operation principle of b...
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Magnetorheological dampers are intelligent shock absorbers that utilize the magneto rheological effect to achieve adaptable damping, which can effectively enhance vehicle riding comfort and handling stability. An init...
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This paper addresses the intelligent detection problem of distinguishability between actuator faults and false data injection attacks (FDIAs) in cyber-physical direct current microgrids (DC mGs). The dual-observer det...
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