摘要
本文以PNN（ProbabilisticNeuralNetwork）状态估计为基础，提出一种非线性系统的故障检测方法．该方法根据PNN状态估计的特点，依据PNN滤波器材系统扰动的估计结果，对照系统噪声的统计特性进行分析，以检测非线性系统的故障，仿真结果表明了该方法的正确性．
This paper presents a method of fault detectation for nonlinear systems based on PNN filter.According to the properties of PNN filter,the faults of nonlinear systems are detected by comparing the statistical characterists of the disturbance estimates with those of the niose of the systems,and the method is confirmed by simulation.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1997年第2期171-177,共7页
Control Theory & Applications
基金
上海市自然科学基金
攀登计划资助
