机动规避对于提高飞机的生存能力至关重要,为此提出一种新方法来模拟不确定环境下战机规避导弹攻击。整个模型分为两个部分,一为识别模型,另一为控制模型。识别模型是利用贝叶斯推理确定导弹的导引律,而控制模型则是运用平均后退控制法得到飞机的控制量。仿真结果表明该模型在不确定环境下的有效性。

The evasion of guided missiles is crucial for the survival in air combat. A new model was introduced for the optimal solu-tion of the missile avoidance problem under uncertainty. The model consists of the identification and control phases. In the first phase, the target's belief in the guidance law of the missile was updated using Bayesian reasoning. In the second phase, the con-trols of the aircraft were solved using the receding horizon control scheme. The simulation results show the model is effective.