Robust H∞ Filtering on Uncertain Systems
The problem of robust ∞ H filtering of uncertain systems with continuous and discrete disturbance is addressed based on sampled measurements. The parameter uncertainty is assumed to be time-varying norm-bounded. The aim is to design an asymptotically stable filter, using the locally sampled measurements, which ensure both the robust asymptotic stability and theprescribed level of H ∞ performance for the filtering error dynamics for all admissible uncertainties. The sufficient condition for the existence of such a filter is proposed. An LMI method for designing filters is given by matrix transformations, so it is convenient to obtain the expression of filter. Finally, a numerical example shows that the method is effective and feasible.
uncertain system sampled measurements robust H ∞ filtering linear matrix inequality
Ping Sun Chunyu Liu
Department of Information Science and Engineering Shengyang University of Technology Liaoning Provin Neusoft Institute of Information Northeastern University Liaoning Province, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)