A novel adaptive heuristic dynamic programming-based algorithm for aircraft confrontation games

Intelligent confrontation has become a vital technology for future air combats. Confrontation games between a penetrating aircraft and an intercepting aircraft are essential for modern air combats. In addition, the performance indexes of both the interceptor and penetrator must be considered. Traditional methods only solve one side's guidance problem without considering the intelligence of the opponent. In this paper, an adaptive heuristic dynamic programming-based algorithm is proposed for aircraft confrontation games. This algorithm constructs a heuristic dynamic programming model for both confrontation aircraft and then updates the critical and action network parameters using the dynamic confrontation state information. Numerical simulations indicate that the proposed algorithm can optimize the guidance law for both the interceptor and penetrator and is therefore superior to traditional proportional navigation methods