LEADER 03548oam 2200553zu 450 001 996211642503316 005 20230607215322.0 010 $a1-280-55649-8 010 $a9786610556496 010 $a0-471-26638-8 035 $a(CKB)1000000000019021 035 $a(SSID)ssj0000080452 035 $a(PQKBManifestationID)11998352 035 $a(PQKBTitleCode)TC0000080452 035 $a(PQKBWorkID)10095776 035 $a(PQKB)10892222 035 $a(MiAaPQ)EBC4956972 035 $a(Au-PeEL)EBL4956972 035 $a(CaONFJC)MIL55649 035 $a(OCoLC)1024279814 035 $a(EXLCZ)991000000000019021 100 $a20160829d2001 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aKalman Filtering: Theory and Practice Using MATLAB 205 $a2nd ed. 210 31$a[Place of publication not identified]$cWiley Interscience Imprint$d2001 215 $a1 online resource (410 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-471-39254-5 330 $a"...an authentic magnum opus worth much more than its weight in gold!" IEEE Transactions on Automatic Control, from a review of the First Edition "The best book I've seen on the subject of Kalman filtering ...Reading other books on Kalman filters and not this one could make you a very dangerous Kalman filter engineer." Amazon.com, from a review of the First Edition In this practical introduction to Kalman filtering theory and applications, authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common problems, and limitations of estimation theory as it applies to real-world situations. They provide many illustrative examples drawn from an array of application areas including GPS-aided INS, the modeling of gyros and accelerometers, inertial navigation, and freeway traffic control.; In addition, they share many hard-won lessons about, and original methods for, designing, implementing, validating, and improving Kalman filters, including techniques for: Representing the problem in a mathematical model Analyzing estimator performance as a function of model parameters Implementing the mechanization equations in numerically stable algorithms Assessing computational requirements Testing the validity of results Monitoring filter performance in operation As the best way to understand and master a technology is to observe it in action, Kalman Filtering: Theory and Practice Using MATLAB(r), Second Edition includes companion software in MATLAB(r), providing users with an opportunity to experience first hand the filter's workings and its limitations. This updated and revised edition of Grewal and Andrews's classic guide is an indispensable working resource for engineers and computer scientists involved in the design of aerospace and aeronautical systems, global positioning and radar tracking 330 8 $asystems, power systems, and biomedical instrumentation. 606 $aCivil & Environmental Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aOperations Research$2HILCC 615 7$aCivil & Environmental Engineering 615 7$aEngineering & Applied Sciences 615 7$aOperations Research 676 $a519.54 700 $aGrewal$b Mohinder S$027535 702 $aAndrews$b Angus P 801 0$bPQKB 906 $aBOOK 912 $a996211642503316 996 $aKalman filtering$9263534 997 $aUNISA