TY - GEN
T1 - The Design of Adaptive Integrated Guidance and Control Subjected to State Constraints and Multiple Uncertainties
AU - Bai, Yu
AU - Yan, Tian
AU - Han, Bingjie
AU - Fu, Wenxing
AU - Shen, Yue
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance and control (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates adaptive dynamic surface composite control with the barrier Lyapunov function. Composite control in this paper takes a superior approach by introducing the estimated information of the system states from the series-parallel estimation model into the neural network under the framework of adaptive dynamic surface control to achieve composite learning, which makes the algorithm learn more accurately for system disturbance. Meanwhile, the saturation function and the barrier Lyapunov function (BLF) ensure that the system state satisfies the constraints. The effectiveness of the IGC scheme is verified by numerical simulation.
AB - This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance and control (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates adaptive dynamic surface composite control with the barrier Lyapunov function. Composite control in this paper takes a superior approach by introducing the estimated information of the system states from the series-parallel estimation model into the neural network under the framework of adaptive dynamic surface control to achieve composite learning, which makes the algorithm learn more accurately for system disturbance. Meanwhile, the saturation function and the barrier Lyapunov function (BLF) ensure that the system state satisfies the constraints. The effectiveness of the IGC scheme is verified by numerical simulation.
KW - Adaptive control
KW - Integrated guidance and control
KW - Online composite learning
KW - Serial-parallel estimation model
UR - https://www.scopus.com/pages/publications/85173607951
U2 - 10.1109/CFASTA57821.2023.10243238
DO - 10.1109/CFASTA57821.2023.10243238
M3 - 会议稿件
AN - SCOPUS:85173607951
T3 - Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
SP - 734
EP - 739
BT - Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Y2 - 14 July 2023 through 16 July 2023
ER -