LEADER 04764nam 22007695 450 001 9910480363203321 005 20200629153356.0 010 $a3-662-03859-5 024 7 $a10.1007/978-3-662-03859-8 035 $a(CKB)2660000000026262 035 $a(SSID)ssj0000855046 035 $a(PQKBManifestationID)11443509 035 $a(PQKBTitleCode)TC0000855046 035 $a(PQKBWorkID)10912204 035 $a(PQKB)10719062 035 $a(DE-He213)978-3-662-03859-8 035 $a(MiAaPQ)EBC3098451 035 $a(PPN)237922746 035 $a(EXLCZ)992660000000026262 100 $a20130130d1999 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aKalman Filtering$b[electronic resource] $ewith Real-Time Applications /$fby Charles K. Chui, Guanrong Chen 205 $a3rd ed. 1999. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1999. 215 $a1 online resource (XIV, 230 p.) 225 1 $aSpringer Series in Information Sciences,$x0720-678X ;$v17 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-64611-6 320 $aIncludes bibliographical references and index. 327 $a1. Preliminaries -- 2. Kalman Filter: An Elementary Approach -- 3. Orthogonal Projection and Kalman Filter -- 4. Correlated System and Measurement Noise Processes -- 5. Colored Noise -- 6. Limiting Kalman Filter -- 7. Sequential and Square-Root Algorithms -- 8. Extended Kalman Filter and System Identification -- 9. Decoupling of Filtering Equations -- 10. Kalman Filtering for Interval Systems -- 11. Wavelet Kalman Filtering -- 12. Notes -- References -- Answers and Hints to Exercises. 330 $aKalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. 410 0$aSpringer Series in Information Sciences,$x0720-678X ;$v17 606 $aPhysics 606 $aEconomic theory 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aElectrical engineering 606 $aArtificial intelligence 606 $aMathematical Methods in Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19013 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aPhysics. 615 0$aEconomic theory. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aElectrical engineering. 615 0$aArtificial intelligence. 615 14$aMathematical Methods in Physics. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 615 24$aMathematical and Computational Engineering. 615 24$aCommunications Engineering, Networks. 615 24$aArtificial Intelligence. 676 $a629.8/312 700 $aChui$b Charles K$4aut$4http://id.loc.gov/vocabulary/relators/aut$022718 702 $aChen$b Guanrong$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910480363203321 996 $aKalman Filtering$92182298 997 $aUNINA LEADER 01702oam 2200481I 450 001 9910713600203321 005 20200825133139.0 035 $a(CKB)5470000002501657 035 $a(OCoLC)832118960 035 $a(EXLCZ)995470000002501657 100 $a20150710j201103 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDevelopment and evaluation of a career continuance model for company grade officers in the United States Army /$fRobert J. Schneider [and five others] 210 1$aArlington, Virginia :$cUnited States Army Research Institute for the Behavioral and Social Sciences,$dMarch 2011. 215 $a1 online resource (xii, 76 pages) $cillustrations 225 1 $aARI research note ;$v2011-05 300 $a"March 2011." 300 $aIncludes tables. 320 $aIncludes bibliographical references (pages 71-76). 606 $aCareer development 606 $aVocational guidance 606 $aJob satisfaction 606 $aDecision making 606 $aAge and employment 615 0$aCareer development. 615 0$aVocational guidance. 615 0$aJob satisfaction. 615 0$aDecision making. 615 0$aAge and employment. 700 $aSchneider$b Robert J.$043564 712 02$aU.S. Army Research Institute for the Behavioral and Social Sciences, 801 0$bDTICE 801 1$bDTICE 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910713600203321 996 $aDevelopment and evaluation of a career continuance model for company grade officers in the United States Army$93497331 997 $aUNINA