摘要
为了提高动态不确定环境下无人机的自主控制级别,建立一种基于模糊推理Petri网的无人机智能决策方法。以FRPNs结构实现规则推理,按照规则分析系统的推理过程,并基于模糊推理Petri网的智能决策进行仿真。仿真结果证明:该方法提高了决策的实时性,实现了无人机攻击和防御的自主决策。
For improving autonomous control level of UAV under dynamic uncertain environment, establish UAV intelligent decision method based on fuzzy reasoning Petri net. Use FRPNs structure to realize rule reasoning, according to rule to analyze system reasoning process, simulate based on fuzzy reasoning Petri net intelligent decision. The simulation results show that： the method improves the decision-making in real time and realize autonomous decision of UAV attack and defense.
出处
《兵工自动化》
2015年第3期71-73,共3页
Ordnance Industry Automation
关键词
无人机
自主控制
智能决策
模糊推理
UAV
autonomous control
intelligent decision
fuzzy reasoning
