Continuous Average Control of Piecewise Deterministic Markov Processes

  • Oswaldo Luiz do Valle Costa
  • Francois Dufour

Part of the SpringerBriefs in Mathematics book series (BRIEFSMATH)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Oswaldo Luiz do Valle Costa, François Dufour
    Pages 1-5
  3. Oswaldo Luiz do Valle Costa, François Dufour
    Pages 7-22
  4. Oswaldo Luiz do Valle Costa, François Dufour
    Pages 23-46
  5. Oswaldo Luiz do Valle Costa, François Dufour
    Pages 47-77
  6. Oswaldo Luiz do Valle Costa, François Dufour
    Pages 79-91
  7. Oswaldo Luiz do Valle Costa, François Dufour
    Pages 93-110
  8. Back Matter
    Pages 111-116

About this book


The intent of this book is to present recent results in the control theory for the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs). The book focuses mainly on the long run average cost criteria and  extends to the PDMPs some well-known techniques related to discrete-time and continuous-time Markov decision processes, including the so-called ``average inequality approach'', ``vanishing discount technique'' and ``policy iteration algorithm''. We believe that what is unique about our approach is that, by using the special features of the PDMPs, we trace a parallel with the general theory for discrete-time Markov Decision Processes rather than the continuous-time case. The two main reasons for doing that is to use the powerful tools developed in the discrete-time framework and to avoid working with the infinitesimal generator associated to a PDMP, which in most cases has its domain of definition difficult to be characterized. Although the book is mainly intended to be a theoretically oriented text, it also contains some motivational examples. The book is targeted primarily for advanced students and practitioners of control theory. The book will be a valuable source for experts in the field of Markov decision processes. Moreover,  the book should be suitable for certain advanced courses or seminars. As  background, one needs an acquaintance with the theory of Markov decision processes and some knowledge of stochastic processes and modern analysis.



Average Cost Markov Decision Processes Optimality Equation Policy Iteration Approach Vanishing Discount Approach

Authors and affiliations

  • Oswaldo Luiz do Valle Costa
    • 1
  • Francois Dufour
    • 2
  1. 1., Telecommunications and Control EngUniversity of São PauloSão PauloBrazil
  2. 2., Institut de Mathématiques de BordeauxInstitut Polytechnique de BordeauxTalence cedexFrance

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