Decision-making Design of UAV Autonomous Countermeasure in Joint Situation
A decision-making model of UAV autonomous confrontation under joint situation is designed.Firstly,the model relies on grey prediction to predict the data in the case of less data.It relies on cloud model theory to evaluate the accuracy of situation data and then form a joint situation of grey-rough-set cloud model by combing with rough set theory to extract the situation information with high influence weight.Then,using OODA loop theory for reference,a hierarchical control based on OODA is designed.Finally,based on the strategy/evaluation independent neural network channels of"AlphaGoZero",the UAV real-time countermeasure decision algorithm is designed.The above method is successfully verified by simulation in two scenarios.