LEADER 04865nam 2200661 a 450 001 9910781543003321 005 20230617033941.0 010 $a1-60086-677-8 010 $a1-60086-458-9 035 $a(CKB)2550000000073801 035 $a(EBL)3111661 035 $a(SSID)ssj0000565890 035 $a(PQKBManifestationID)12252127 035 $a(PQKBTitleCode)TC0000565890 035 $a(PQKBWorkID)10552801 035 $a(PQKB)10956093 035 $a(Au-PeEL)EBL3111661 035 $a(CaPaEBR)ebr10516766 035 $a(OCoLC)922979103 035 $a(MiAaPQ)EBC3111661 035 $a(EXLCZ)992550000000073801 100 $a20060111d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFundamentals of Kalman filtering$b[electronic resource] $ea practical approach /$fPaul Zarchan and Howard Musoff 205 $a2nd ed. 210 $aReston, Va. $cAmerican Institute of Aeronautics and Astronautics, Inc.$dc2005 215 $a1 online resource (790 p.) 225 1 $aProgress in astronautics and aeronautics ;$vv. 208 300 $aDescription based upon print version of record. 311 $a1-56347-694-0 320 $aIncludes bibliographical references and index. 327 $a""Cover""; ""Title""; ""Copyright""; ""Table of Contents""; ""Preface""; ""Introduction""; ""Acknowledgments""; ""Chapter 1. Numerical Basics""; ""Introduction""; ""Simple Vector Operations""; ""Simple Matrix Operations""; ""Numerical Integration of Differential Equations""; ""Noise and Random Variables""; ""Gaussian Noise Example""; ""Calculating Standard Deviation""; ""White Noise""; ""Simulating White Noise""; ""State-Space Notation""; ""Fundamental Matrix""; ""Summary""; ""References""; ""Chapter 2. Method of Least Squares""; ""Introduction""; ""Overview"" 327 $a""Zeroth-Order or One-State Filter""""First-Order or Two-State Filter""; ""Second-Order or Three-State Least-Squares Filter""; ""Third-Order System""; ""Experiments with Zeroth-Order or One-State Filter""; ""Experiments with First-Order or Two-State Filter""; ""Experiments with Second-Order or Three-State Filter""; ""Comparison of Filters""; ""Accelerometer Testing Example""; ""Summary""; ""References""; ""Chapter 3. Recursive Least-Squares Filtering""; ""Introduction""; ""Making Zeroth-Order Least-Squares Filter Recursive""; ""Properties of Zeroth-Order or One-State Filter"" 327 $a""Properties of First-Order or Two-State Filter""""Properties of Second-Order or Three-State Filter""; ""Summary""; ""References""; ""Chapter 4. Polynomial Kalman Filters""; ""Introduction""; ""General Equations""; ""Derivation of Scalar Riccati Equations""; ""Polynomial Kalman Filter (Zero Process Noise)""; ""Comparing Zeroth-Order Recursive Least-Squares and Kalman Filters""; ""Comparing First-Order Recursive Least-Squares and Kalman Filters""; ""Comparing Second-Order Recursive Least-Squares and Kalman Filters""; ""Comparing Different-Order Filters""; ""Initial Covariance Matrix"" 327 $a""Riccati Equations with Process Noise""""Example of Kalman Filter Tracking a Falling Object""; ""Revisiting Accelerometer Testing Example""; ""Summary""; ""References""; ""Chapter 5. Kalman Filters in a Nonpolynomial World""; ""Introduction""; ""Polynomial Kalman Filter and Sinusoidal Measurement""; ""Sinusoidal Kalman Filter and Sinusoidal Measurement""; ""Suspension System Example""; ""Kalman Filter for Suspension System""; ""Summary""; ""References""; ""Chapter 6. Continuous Polynomial Kalman Filter""; ""Introduction""; ""Theoretical Equations"" 327 $a""Zeroth-Order or One-State Continuous Polynomial Kalman Filter""""First-Order or Two-State Continuous Polynomial Kalman Filter""; ""Second-Order or Three-State Continuous Polynomial Kalman Filter""; ""Transfer Function for Zeroth-Order Filter""; ""Transfer Function for First-Order Filter""; ""Transfer Function for Second-Order Filter""; ""Filter Comparison""; ""Summary""; ""References""; ""Chapter 7. Extended Kalman Filtering""; ""Introduction""; ""Theoretical Equations""; ""Drag Acting on Falling Object""; ""First Attempt at Extended Kalman Filters"" 327 $a""Second Attempt at Extended Kalman Filter"" 410 0$aProgress in astronautics and aeronautics ;$vv. 208. 606 $aKalman filtering 606 $aControl theory 606 $aAeronautics$xStatistical methods 615 0$aKalman filtering. 615 0$aControl theory. 615 0$aAeronautics$xStatistical methods. 676 $a629.8312 700 $aZarchan$b Paul$01478285 701 $aMusoff$b Howard$01478286 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781543003321 996 $aFundamentals of Kalman filtering$93693938 997 $aUNINA