Electronics Optics & Control, Volume. 30, Issue 3, 8(2023)
Active Defense Guidance Based on Self-Learning Differential Game
This paper mainly studies the active defense guidance method in three-body confrontation scenario. Firstly, an active defense guidance method is derived by constructing a three-body confrontation model with strict feedback form, combined with Backstepping theory and differential game idea.Secondly, an evaluation neural network is established based on the Adaptive Dynamic Programming(ADP) algorithm to solve the guidance method online, and Lyapunov stability theory is used to prove the stability of the closed-loop system and the convergence of the evaluation network weights.Finally, simulation results verify the effectiveness of the proposed active defense guidance method.
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CHEN Bilu, LIU Chunsheng, YUAN Feiran. Active Defense Guidance Based on Self-Learning Differential Game[J]. Electronics Optics & Control, 2023, 30(3): 8
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Received: Jan. 20, 2022
Accepted: --
Published Online: Apr. 3, 2023
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