TS Fuzzy approach for Fault Detection in Nonlinear Systems with Immeasurable State Variables
The design of TS Fuzzy observer for disturbance rejection based on H∞ optimization index is discussed in this paper. The disturbance rejection observer for Takagi-Sugeno (TS) fuzzy system is designed with weight function depending on immeasurable premise variables and the residual generated is robust to disturbances. The linear matrix inequalities (LMI) which will minimize the optimizing index has also been stated.
Multi-model approach immeasurable premise variables H∞ index LMI Fault detection observer L2-gain
Muhammad Abid Talal Hussain Abdul Qayyum Khan
Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
国际会议
长沙
英文
199-203
2014-05-31(万方平台首次上网日期,不代表论文的发表时间)