基于多层递推离散动态贝叶斯网络的协同决策优化

Coordinated Decision Optimization Based on Hiberarchy Discrete Dynamic Bayesian Network

根据电子对抗与火力打击协同使用分层递阶控制的特点,建立基于多层递推离散动态贝叶斯网络协同使用决策模型。依据协同理论,引入协同度概念,用协同度作为确定电子对抗与火力打击协同使用决策随时间变化的状态转移概率的依据。提出前向后向递归搜索算法,求解电子对抗与火力打击协同使用决策问题。通过仿真实验证明,该方法能够减少信息传输,缩短决策时间,大大增强动态不确定条件下决策的适应性。

Based on the hiberarchy characteristic of the coordinated use between electronic countermeasure and fire attack,the hiberarchy discrete dynamic bayesian network coordinated decision model is established.Then,estate transition probability is confirmed according to the coordinated degree between electronic countermeasure and fire attack.Furthermore,the forward and back algorithm is proposed to solve the coordinated decision problem.Finally,the simulation result shows that the proposed method can reduce the communication transmission,shorten decision time,and enhance the decision adaptability on dynamic and uncertainty condition greatly.