Robust H∞ Hybrid Estimation for Continuous Linear Time-Varying Uncertain Systems with Known Input

摘要：

This letter presents an approach to deal with robust H∞ state and input hybrid estimation for continuous linear time-varying systems, where norm-bounded parameter uncertainty is appeared in the state and output matrices and a known input is incorporated in the state-space model. The known input will influence the estimation due to parameter uncertainty. Using differential game theory approach, a sufficient solvable condition for the problem is proposed as well as a design method for the optimal estimator. Compared with those based on nominal systems, the proposed approach significantly improves the estimator’s robustness to parameter uncertainty and known input. One simulation example about a second-order resonant system illustrates the effectiveness of such an approach.

关键词： Linear time-varying system Estimation Game theory Robustness H∞ optimization

作者: Fuqiang You Fuli Wang Shouping Guan

作者单位: School of Information Science and Engineering, Northeastern University, Shenyang, 110004

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 2219-2222

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）