摘要
Arecursiveidentificationmethodisproposedtoobtaincontinuous-timestate-spacemodelsinsystemswithnonuniformlysampled(NUS)data.Duetothenonuniformsamplingfeature,thetimeintervalfromonerecursionsteptothenextvariesandtheparameterisalwaysupdatedpartiallyateachstep.Furthermore,thisidentificationmethodisappliedtoformacombineddatacompressionmethodinNUSprocesses.Thedatatobecompressedarefirstclassifiedwithrespecttoaseriesofpotentiallyexisting(possiblytime-varying)models,andthenmodeledbytheNUSidentificationmethod.Themodelparametersarestoredinsteadoftheidentificationoutputdata,whichmakesthefirstcompression.Subsequently,asthesecondstep,theconventionalswingingdoortrendingmethodiscarriedoutonthedatafromthefirststep.Numericresultsfromsimulationaswellaspracticaldataaregiven,showingtheeffectivenessoftheproposedidentificationmethodandfoldincreaseofcompressionratioachievedbythecombineddatacompressionmethod.
出版日期
2012年02月12日（中国期刊网平台首次上网日期，不代表论文的发表时间）
