This paper investigates the optimal performance control problem for the trajectory tracking control for a stratospheric airship with external disturbance. A reinforcement learning adaptive tracking control for a stratospheric airship is proposed. First, according to the knowledge of dynamics and kinematics, we establish the model of a stratospheric airship used in this paper. Then, to solve external disturbance problem and enhance the system performance, a controller is proposed by means of a reinforcement learning (RL) method that is primarily based on two neural networks (NNs). In the last place, the stability analysis and numerical simulations are given to verify that the designed controller is effective.
Reinforcement Learning Adaptive Tracking Control for a Stratospheric Airship
Lect. Notes Electrical Eng.
Chinese Intelligent Systems Conference ; 2020 ; Shenzhen City, China October 24, 2020 - October 25, 2020
2020-09-24
14 pages
Article/Chapter (Book)
Electronic Resource
English
Reinforcement Learning Adaptive Tracking Control for a Stratospheric Airship
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