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Autor(en): 
  • Raymond W. Rishel
  • Wendell H. Fleming
  • Deterministic and Stochastic Optimal Control 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Oktober 1982  
    Genre:  Naturwissensch., Medizin, Technik 
     
    GARDENING / General / SCIENCE / System Theory / TECHNOLOGY & ENGINEERING / Robotics
    ISBN:  9780387901558 
    EAN-Code: 
    9780387901558 
    Verlag:  Springer Nature B.V. 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #1 - Stochastic Modelling and Appli  
    Dimensionen:  H 234 mm / B 156 mm / D 14 mm 
    Gewicht:  510 gr 
    Seiten:  236 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book may be regarded as consisting of two parts. In Chapters I-IV we pre­ sent what we regard as essential topics in an introduction to deterministic optimal control theory. This material has been used by the authors for one semester graduate-level courses at Brown University and the University of Kentucky. The simplest problem in calculus of variations is taken as the point of departure, in Chapter I. Chapters II, III, and IV deal with necessary conditions for an opti­ mum, existence and regularity theorems for optimal controls, and the method of dynamic programming. The beginning reader may find it useful first to learn the main results, corollaries, and examples. These tend to be found in the earlier parts of each chapter. We have deliberately postponed some difficult technical proofs to later parts of these chapters. In the second part of the book we give an introduction to stochastic optimal control for Markov diffusion processes. Our treatment follows the dynamic pro­ gramming method, and depends on the intimate relationship between second­ order partial differential equations of parabolic type and stochastic differential equations. This relationship is reviewed in Chapter V, which may be read inde­ pendently of Chapters I-IV. Chapter VI is based to a considerable extent on the authors' work in stochastic control since 1961. It also includes two other topics important for applications, namely, the solution to the stochastic linear regulator and the separation principle.

      



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