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Autor(en): 
  • Junkins John L.
  • Crassidis John L.
  • Optimal Estimation of Dynamic Systems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2011  
    Genre:  Schulbücher 
     
    advanced sequential estimation theory / Applied mathematics / COMPUTERS / Cybernetics / Cybernetics & systems theory / Cybernetics and systems theory / MATHEMATICS / Applied / numerical simulation methods / parameter identification
    ISBN:  9781439839850 
    EAN-Code: 
    9781439839850 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Chapman & Hall/CRC Applied Mathematics & Nonlinear Science  
    Dimensionen:  H 234 mm / B 156 mm / D 38 mm 
    Gewicht:  1240 gr 
    Seiten:  750 
    Illustration:  schwarz-weiss Illustrationen, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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