Robust H∞ Filtering for Uncertain Systems Based on Sampled Measurement
The problem of robust H ∞ filtering based on sampled measurement for uncertain systems is studied. Based on piecewise Lyapunov stability criterion, the sample interval dependent conditions for the existence of such filters are established, which are less conservative. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. Finally, a numerical example is provided to illustrate the effectiveness of the proposed techniques.
Chuang Ma Weinan Xie Boqi Xi Changhong Wang
Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin,Heilongjiang Province,China
国际会议
深圳
英文
872-875
2008-12-10(万方平台首次上网日期,不代表论文的发表时间)