摘要
研究了具有传感器量化数据随机丢失情况下非线性网络控制系统的故障检测问题.考虑到数据量化和网络噪声等不确定因素对网络控制系统故障检测性能的影响,建立了随机非线性网络化控制系统模型,并将网络控制系统的故障检测问题转化为H∞扰动问题.基于获得的扩展滤波误差系统模型,利用李雅普诺夫函数方法,给出了线性矩阵不等式形式的结论,在线性矩阵不等式具有可行解情况下,设计了观测器形式的故障检测滤波器.给出了数据传输率和量化水平与故障检测性能之间的数量关系,仿真结果验证了所得结论的有效性.
Fault detection problem of nonlinear networked control systems with random quantized sensor data was studie, d. Considering the effect of data quantization and network constraint on fault detection performance, a stochastic nonlinear systems model was established. By utilizing Lyapunov technique, sufficient condition in term of linear matrix inequality was established, and the quantity relation of data transmission rate and quantization level to fault detection performance was obtained. The effectiveness of the proposed methods was demonstrated by simulation examples.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第3期63-67,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61104027
61174107)
中国博士后科学基金资助项目(2011M500899)
关键词
故障检测
网络控制系统
量化误差
数据丢失
线性矩阵不等式
fault detection
networked control system
quantized error
data loss
linear matrix inequality
