An end-to-end large-angle attitude tracking control framework for spacecraft under multiple physical constraints based on deep reinforcement learning (DRL) is proposed, including attitude pointing constraints, moment amplitude constraints and internal disturbances. Unlike conventional Euler angle and quaternion represe...
Jia-Lu Li, Xue-Bo Yang, Xiao-Long Zheng et al.· IEEE Transactions on Aerospa...· 0 citations
This paper considers a model predictive control (MPC) problem for discrete-time linear systems with uncertain cost-weight parameters under limited data. A Wasserstein ambiguity set centered at the empirical distribution is introduced, and a distributionally robust optimization-based MPC (DRO-MPC) framework is developed...
Unknown disturbances can significantly degrade the attitude tracking performance of high-speed aircraft and may even threaten system stability. To mitigate the effects of external disturbances, this article proposes a discrete neural network adaptive backstepping controller based on gradient descent algorithm, aiming t...
Shen-Yi Jiang, Jun-Sheng Jiang, Xue-Bo Yang et al.· Transactions of the Institut...· 0 citations
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