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A New Approach to Optimal Filtering for SingularDiscrete-Time Stochastic Linear System
作者姓名:WANG Yuzhen  WANG Lianguo  WANG Mingyuan
作者单位:System Engineering Institute,Shandong Institute of Mining and Technology Tat'an 271000
摘    要:1IntroductionBecausetherealisticproblemwhichsingularsystemdescribesiswiderthanthenormalsystemsdo,theresearchofsingularsystemshasreceivedagreatdealofattention.Andmanyachievementshavebeenobtainedinthefieldsofstructuralcharacteranalysisanddesignmethodsofsingularsystems.Butforthestateestimationonlypreliminaryprobehasbeenmade.References2]--51proposedrespectivesolutionsbasedonleastsquaremethod.References6]--71transformsingularsystemsintonormalsystemsthroughmatrixresolutionandthenmakeuseofKalman…


A New Approach to Optimal Filtering for Singular Discrete-Time Stochastic Linear System
WANG Yuzhen, WANG Lianguo, WANG Mingyuan.A New Approach to Optimal Filtering for SingularDiscrete-Time Stochastic Linear System[J].Journal of Systems Science and Systems Engineering,1999(2).
Authors:WANG Yuzhen  WANG Lianguo  WANG Mingyuan
Abstract:Based on the theory of Bayes forecasting, this paper mainly deals with the problem onthe state estimation for singular discrete-time stochastic linear system. And a new approach to optimalfiltering-linear Bayes estimation (LBE) has been proposed.
Keywords:singular discrete-time stochastic linear system  Bayes forecasting  optimal filteringEstimation
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