Fault Detection for Nonlinear Systems Based on Parity Space Approach
In this paper, the fault detection approach for nonlinear systems modelled by Takagi-Sugeno (T-S) fuzzy models based on parity space is studied. The parity space approach for linear systems is generalized to T-S fuzzy systems. Sufficient conditions for the existence of the solutions are derivated in terms of linear matrix inequality (LMI). In the end, a numerical example is given to illustrate the effectiveness of the proposed approach.
ZHAO Juan
Research Center of Automatic Control & Automation Department, Binzhou University 256600 Binzhou, Shandong Province ,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）