Robust Fault Detection for Nonlinear Systems Based on Observer

摘要：

In this paper, the problem of observer-based robust fault detection is studied for T-S fuzzy systems. A T-S model described fuzzy observer is considered as a fault detection filter to generate residual. The problem of fault detection is formulated into a model-matching problem so that the influence of uncertainty and disturbance is minimized to increase the robustness of residual to unknown inputs, while the effect of fault is maximized to enhance the sensitivity to fault By using the H_∞ optimization technology, a solvable sufficient condition is derived and the observer gain matrix can be solved in terms of LMIs.

关键词： fault detection linear matrix inequality (LMI) parity space fuzzy system

作者: ZHAO Juan GAO Lian-xue SHI Yan-feng

作者单位: Research Center of Automatic Control & Automation Department, Binzhou University Binzhou, Shandong Province ,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 29-33

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）