一种基于模糊逻辑的被动测量自适应抽样算法

Adaptive Sampling Arithmetic in Passive Measurement Based on Fuzzy Logic

结合被动抽样测量系统的特殊性，分析了模糊逻辑控制理论应用于被动测量系统抽样算法上的可行性。仿真结果表明，基于模糊逻辑控制理论的自适应抽样算法能够动态地调整被动测量系统地抽样间隔，使网络测量准确度和计算机资源费用达到优化。

This paper analyzes the feasibility of using the fuzzy logic control theory on the sampling arithmetic according to the characteristic of the fuzzy logic control theory and particularity of the passive sampling measurement system. The result indicates that the adaptive sampling arithmetic can adjust the sample interval adaptively, and optimize the measurement veracity and resource expense.