当前位置: X-MOL 学术IEEE Trans. Fuzzy Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fault Detection Filtering for Nonhomogeneous Markovian Jump Systems via Fuzzy Approach
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2018-02-01 , DOI: 10.1109/tfuzz.2016.2641022
Fanbiao Li , Peng Shi , Cheng-Chew Lim , Ligang Wu

This paper investigates the problem of the fault detection filter design for nonhomogeneous Markovian jump systems by a Takagi–Sugeno fuzzy approach. Attention is focused on the construction of a fault detection filter to ensure the estimation error dynamic stochastically stable, and the prescribed performance requirement can be satisfied. The designed fuzzy model-based fault detection filter can guarantee the sensitivity of the residual signal to faults and the robustness of the external disturbances. By using the cone complementarity linearization algorithm, the existence conditions for the design of fault detection filters are provided. Meanwhile, the error between the residual signal and the fault signal is made as small as possible. Finally, a practical application is given to illustrate the effectiveness of the proposed technique.

中文翻译:

基于模糊方法的非齐次马尔可夫跳跃系统的故障检测过滤

本文通过 Takagi-Sugeno 模糊方法研究了非齐次马尔可夫跳跃系统的故障检测滤波器设计问题。注意力集中在故障检测滤波器的构建上,以确保估计误差动态随机稳定,并能满足规定的性能要求。设计的基于模糊模型的故障检测滤波器可以保证残差信号对故障的敏感性和外部扰动的鲁棒性。利用锥互补线性化算法,为故障检测滤波器的设计提供了存在条件。同时,使残差信号与故障信号之间的误差尽可能小。最后,给出了一个实际应用来说明所提出技术的有效性。
更新日期:2018-02-01
down
wechat
bug