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《Journal of Tsinghua University(Science and Technology)》 2004-10
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Estimates of hybrid states and parameters using qualitative signal data

MO Yiwei, XIAO Deyun(Department of Automation, Tsinghua University, Beijing 100084, China)  
An algorithm was developed to analyze qualitative measurement signals obtained in engineering test for hybrid state estimation to extract exact quantitative information at specified instants in time. A hybrid states estimation approach was then developed using both this extracted quantitative information and the continuous measurement signals. Previous model for state estimates have rarely been accurate. The state estimates were improved with the quantitative information acquired from qualitative signals usingan evolutionary particle filter to estimate imprecise model parameters. Simulation results demonstrate the feasibility of the proposed approaches for hybrid state and parameter estimates with both approaches taking full advantage of the qualitative information.
【Fund】: 国家"八六三"高技术项目(2002AA412510;2002AA412420)
【CateGory Index】: TP13
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