Abstract:

The stealthy engagement maneuvering strategy for air combat based on approximate dynamic programming (ADP) is studied. The advantage region and the exposure region are proposed based on the operational principles, and the stealthy engagement decision framework based on the Markov decision process (MDP) is established and the value iteration method based on the ADP is proposed. The immediate reward function is modified by a situation scoring function and the strategy learning method and the policy extraction method are explained. Finally, the policies in different situations when the adversary have access to outer information source and without the information are validated. The simulation results show that the application of ADP in the stealthy engagement of air combat is feasible and the policy extracted by this method in different initial situation is effective.