ThedefinitivetextbookandprofessionalreferenceonKalmanFiltering-fullyupdated,revised,andexpandedThisbookcontainsthelatestdevelopmentsintheimplementationandapplicationofKalmanfiltering.AuthorsGrewalandAndrewsdrawupontheirdecadesofexperiencetoofferanin-depthexaminationofthesubtleties,co妹妹onpitfalls,andlimitationsofestimationtheoryasitappliestoreal-worldsituations.Theypresentmanyillustrativeexamplesincludingadaptationsfornonlinearfiltering,globalnavigationsatellitesystems,theerrormodelingofgyrosandaccelerometers,inertialnavigationsystems,andfreewaytrafficcontrol.KalmanFiltering:TheoryandPracticeUsingMATLAB,FourthEditionisanidealtextbookinadvancedundergraduateandbeginninggraduatecoursesinstochasticprocessesandKalmanfiltering.Itisalsoappropriateforself-instructionorreviewbypracticingengineersandscientistswhowanttolearnmoreaboutthisimportanttopic.
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