TY - JOUR
T1 - Adaptive-Critic-Based Distributed Event-Triggered Augmented Differential Game for Cooperative Guidance Systems Against Maneuvering Target
AU - Sun, Jingliang
AU - Wang, Mengmeng
AU - Zhou, Zhenlin
AU - Zhong, Jianxin
AU - Li, Junzhi
AU - Long, Teng
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the cooperative interception guidance issue with the maneuvering target, which can be described as a distributed augmented differential game under direct topology by decomposing the nonlinear uncertain term related to the maneuvering target into matched term and unmatched term. An adaptive event-triggered distributed augmented differential game method is proposed to obtain the solution of a coupled distributed differential game online. Then, a guidance performance adaptive critic network is employed to calculate the event-triggered augmented cost function. Moreover, the adaptive triggering condition is designed, which decomposes the original continuous system into a continuous/discrete hybrid one consisting of flow dynamics and jump dynamics. Certainly, all error signals have been theoretically ensured to be within an adjustable bounded region while excluding infamous Zeno behavior. Finally, the advantages, practicalities, and potential of the proposed method are exhibited by numerical simulations and experiments.
AB - This paper investigates the cooperative interception guidance issue with the maneuvering target, which can be described as a distributed augmented differential game under direct topology by decomposing the nonlinear uncertain term related to the maneuvering target into matched term and unmatched term. An adaptive event-triggered distributed augmented differential game method is proposed to obtain the solution of a coupled distributed differential game online. Then, a guidance performance adaptive critic network is employed to calculate the event-triggered augmented cost function. Moreover, the adaptive triggering condition is designed, which decomposes the original continuous system into a continuous/discrete hybrid one consisting of flow dynamics and jump dynamics. Certainly, all error signals have been theoretically ensured to be within an adjustable bounded region while excluding infamous Zeno behavior. Finally, the advantages, practicalities, and potential of the proposed method are exhibited by numerical simulations and experiments.
KW - Multi-agent system
KW - adaptive critic
KW - cooperative guidance
KW - distributed differential game
UR - https://www.scopus.com/pages/publications/105013029831
U2 - 10.1109/TASE.2025.3594043
DO - 10.1109/TASE.2025.3594043
M3 - Article
AN - SCOPUS:105013029831
SN - 1545-5955
VL - 22
SP - 19451
EP - 19469
JO - IEEE Transactions on Automation Science and Engineering
JF - IEEE Transactions on Automation Science and Engineering
ER -