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Continuous Average Control of Piecewise Deterministic Markov Processes

Continuous Average Control of Piecewise Deterministic Markov Processes
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Field name Details
Dewey Class 519.2
Title Continuous Average Control of Piecewise Deterministic Markov Processes (EB) / by Oswaldo Luiz do Valle Costa, Francois Dufour.
Author Costa, Oswaldo Luiz do Valle
Added Personal Name Dufour, Francois
Other name(s) SpringerLink (Online service)
Publication New York, NY : Springer
, 2013.
Physical Details XII, 116 pages, 2 illus. : online resource.
Series SpringerBriefs in Mathematics 2191-8198
ISBN 9781461469834
Summary Note 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. Â:
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-1-4614-6983-4
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