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Record Nr. |
UNINA9910438139103321 |
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Autore |
Costa Oswaldo Luiz do Valle |
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Titolo |
Continuous average control of piecewise deterministic Markov processes / / Oswaldo Luiz do Valle Costa, Francois Dufour |
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Pubbl/distr/stampa |
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New York, : Springer, c2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (xii, 116 pages) : illustrations |
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Collana |
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SpringerBriefs in mathematics |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Markov processes |
System theory |
Distribution (Probability theory) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"ISSN: 2191-8198." |
"ISSN: 2191-8201 (electronic)." |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Average continuous control of PDMPs -- Optimality equation for the average control of PDMPs -- The vanishing discount approach for PDMPs -- The policy iteration algorithm for PDMPs -- Examples. |
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Sommario/riassunto |
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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 |
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