Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV Thrust Vectoring Rotors

Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV Thrust Vectoring Rotors

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Veröffentlicht in:ASME Dynamic Systems and Control Conference (2020 : Online) Proceedings of the ASME Dynamic Systems and Control Conference - 2020 ; Volume 2: Intelligent transportation/vehicles - manufacturing - mechatronics - engine/after-treatment systems - soft actuators/manipulators - modeling/validation - motion/vibration control applications - multi-agent/networked systems - path planning/motion control - renewable/smart energy systems - security/privacy of cyber-physical systems - sensors/actuators - tracking control systems - unmanned ground/aerial vehicles - vehicle dynamics, estimation, control - vibration/control systems - vibrations
1. Verfasser: Deshpande, Aditya M. (VerfasserIn)
Weitere Verfasser: Kumar, Rumit (VerfasserIn), Minai, Ali A. (VerfasserIn), Kumar, Manish (VerfasserIn)
Pages:2020
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
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