稳健性(进化)
参数统计
有界函数
模糊逻辑
计算机科学
故障检测与隔离
观察员(物理)
控制理论(社会学)
算法
数学
人工智能
控制(管理)
统计
基因
量子力学
物理
数学分析
生物化学
执行机构
化学
作者
Zhenrong Wang,Jitao Li,Yi Shen
标识
DOI:10.23919/chicc.2019.8866513
摘要
This paper presents a fault detection observer design method for Takagi-Sugeno fuzzy systems in the presence of bounded parametric uncertainty, process disturbance and measurement noise. To make the proposed observer is sensitive to faults and robust to uncertainties, H - /L ∞ performance index are applied to characterize the performance of fault sensitivity and disturbance robustness, respectively. Due to the advantages of L ∞ analysis, an intuitive dynamic threshold is also synthesized. Sufficient design conditions are derived and expressed in terms of linear matrix inequalities. Numerical simulations verify the effectiveness of the proposed method.
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