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Autor(en): 
  • Jon H. Davis
  • Foundations of Deterministic and Stochastic Control 
     

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


    Übersicht

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    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  April 2002  
    Genre:  Schulbücher 
     
    Automatic control engineering / B / Communications engineering / telecommunications / Communications Engineering, Networks / Control and Systems Theory / Control engineering / Cybernetics & systems theory / Differential calculus & equations / Differential equations / Electrical Engineering / Mathematics and Statistics / Partial Differential Equations / Probabilities / Probability Theory / Probability Theory and Stochastic Processes / Stochastics / System Theory / Systems Theory, Control
    ISBN:  9780817642570 
    EAN-Code: 
    9780817642570 
    Verlag:  Birkhäuser Boston 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Systems & Control: Foundations & Applications  
    Dimensionen:  H 241 mm / B 160 mm / D 29 mm 
    Gewicht:  828 gr 
    Seiten:  444 
    Zus. Info:  HC runder Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Control theory has applications to a number of areas in engineering and communication theory. This introductory text on the subject is fairly self-contained, and consists of a wide range of topics that include realization problems, linear-quadratic optimal control, stability theory, stochastic modeling and recursive estimation algorithms in communications and control, and distributed system modeling. In the early chapters methods based on Wiener--Hopf integral equations are utilized. The fundamentals of both linear control systems as well as stochastic control are presented in a unique way so that the methods generalize to a useful class of distributed parameter and nonlinear system models. The control of distributed parameter systems (systems governed by PDEs) is based on the framework of linear quadratic Gaussian optimization problems. Additionally, the important notion of state space modeling of distributed systems is examined. Basic results due to Gohberg and Krein on convolution are given and many results are illustrated with some examples that carry throughout the text. The standard linear regulator problem is studied in the continuous and discrete time cases, followed by a discussion of (dual) filtering problems. Later chapters treat the stationary regulator and filtering problems using a Wiener--Hopf approach. This leads to spectral factorization problems and useful iterative algorithms that follow naturally from the methods employed. The interplay between time and frequency domain approaches is emphasized. "Foundations of Deterministic and Stochastic Control" is geared primarily towards advanced mathematics and engineering students in various disciplines.
      



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