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008    111028s2012    flua    ob    001 0 eng   
010      2011035244 
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019    795233894|a1112999359|a1129370996 
020    9781439839867|q(electronic bk.) 
020    1439839867|q(electronic bk.) 
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020    |q(hardback) 
024 7  10.1201/b11154|2doi 
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049    INap 
082 04 003.85 
082 04 003.85 
099    eBook O’Reilly for Public Libraries 
100 1  Crassidis, John L. 
245 10 Optimal estimation of dynamic systems /|cJohn L. Crassidis,
       John L. Junkins.|h[O'Reilly electronic resource] 
250    2nd ed. 
260    Boca Raton, FL :|bCRC Press,|c©2012. 
300    1 online resource (733 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    data file|2rda 
490 1  Chapman & Hall/CRC applied mathematics & nonlinear science
       ;|v24 
504    Includes bibliographical references and index. 
505 0  1. Least squares approximation -- 2. Probability concepts 
       in least squares -- 3. Sequential state estimation -- 4. 
       Advanced topics in sequential state estimation -- 5. Batch
       state estimation -- 6. Parameter estimation : applications
       -- 7. Estimation of dynamic systems : applications -- 8. 
       Optimal control and estimation theory -- A. Review of 
       dynamic systems -- B. Matrix properties -- C. Basic 
       probability concepts -- D. Parameter optimization methods 
       -- E. Computer software. 
520    "Optimal Estimation of Dynamic Systems, Second Edition 
       highlights the importance of both physical and numerical 
       modeling in solving dynamics-based estimation problems 
       found in engineering systems. Accessible to engineering 
       students, applied mathematicians, and practicing engineers,
       the text presents the central concepts and methods of 
       optimal estimation theory and applies the methods to 
       problems with varying degrees of analytical and numerical 
       difficulty. Different approaches are often compared to 
       show their absolute and relative utility. The authors also
       offer prototype algorithms to stimulate the development 
       and proper use of efficient computer programs. MATLAB® 
       codes for the examples are available on the book's 
       website. New to the Second Edition. With more than 100 
       pages of new material, this reorganized edition expands 
       upon the best-selling original to include comprehensive 
       developments and updates. It incorporates new theoretical 
       results, an entirely new chapter on advanced sequential 
       state estimation, and additional examples and exercises. 
       An ideal self-study guide for practicing engineers as well
       as senior undergraduate and beginning graduate students, 
       the book introduces the fundamentals of estimation and 
       helps newcomers to understand the relationships between 
       the estimation and modeling of dynamical systems. It also 
       illustrates the application of the theory to real-world 
       situations, such as spacecraft attitude determination, GPS
       navigation, orbit determination, and aircraft tracking"--
       |cProvided by publisher. 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 System analysis. 
650  0 Estimation theory. 
650  2 Systems Analysis 
650  6 Analyse de systèmes. 
650  6 Théorie de l'estimation. 
650  7 systems analysis.|2aat 
650  7 Estimation theory|2fast 
650  7 System analysis|2fast 
700 1  Junkins, John L. 
776 08 |iPrint version:|aCrassidis, John L.|tOptimal estimation 
       of dynamic systems.|b2nd ed.|dBoca Raton, FL : CRC Press, 
       ©2012|z9781439839850|w(DLC)  2011035244|w(OCoLC)751747958 
830  0 Chapman & Hall/CRC applied mathematics and nonlinear 
       science series. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781439839867/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    Askews and Holts Library Services|bASKH|nAH24073689 
938    ProQuest Ebook Central|bEBLB|nEBL800953 
938    ebrary|bEBRY|nebr10511318 
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994    92|bJFN