An LMI Approach to H∞ Filtering of Uncertain Systems
This paper studies the H∞ filtering problem of linear uncertain systems with polytopic uncertainties. By introducing some slack matrices and using the parameter-dependent Lyapunov function approaches, sufficient conditions for the existence of such filter are expressed in terms of linear matrix inequalities (LMIs). And, a convex analysis procedure is implemented to derive the filter gain matrices. Finally, a numerical example is presented to illustrate the theoretical developments.
Uncertain systems parameter-dependent Lyapunov function slack matrices H∞ filtering Linear matrix inequalities (LMIs)
Liang Hong Xiao-Heng Chang
School of mechanical Electronic and Information Engineer, China University of Mining and Technology, College of Engineering, Bohai University, Jinzhou, 121003, China. Corresponding author: Xiao-Heng Ch
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
381-384
2012-05-23(万方平台首次上网日期,不代表论文的发表时间)