Control and optimization of Stochastic Hybrid Systems (SHS) constitute increasingly active fields of research. Perturbation Analysis (PA) techniques have proven to be particularly useful for SHS, since the size and complexity of such systems frequently render the use of exhaustive verification techniques prohibitive. This book focuses on applying PA to two different problems: Traffic Light Control (TLC) and control of cancer progression, both of which are viewed as dynamic optimization problems in a SHS environment. The TLC problem for a single intersection is modeled as a SHS, for which a quasi-dynamic control policy is proposed based on partial state information defined by detecting whether vehicle backlogs are above or below certain controllable threshold values. The problem of controlling cancer progression is formulated within a Stochastic Hybrid Automaton framework, and an integrative closed-loop framework is proposed for describing the progressive development of cancer and determining optimal personalized therapies. The insights provided by this book should be useful to researchers in the field of SHS and more generally to those interested in cutting-edge optimization solutions.
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Control and optimization of Stochastic Hybrid Systems (SHS) constitute increasingly active fields of research. Perturbation Analysis (PA) techniques have proven to be particularly useful for SHS, since the size and complexity of such systems frequently render the use of exhaustive verification techniques prohibitive. This book focuses on applying PA to two different problems: Traffic Light Control (TLC) and control of cancer progression, both of which are viewed as dynamic optimization problems in a SHS environment. The TLC problem for a single intersection is modeled as a SHS, for which a quasi-dynamic control policy is proposed based on partial state information defined by detecting whether vehicle backlogs are above or below certain controllable threshold values. The problem of controlling cancer progression is formulated within a Stochastic Hybrid Automaton framework, and an integrative closed-loop framework is proposed for describing the progressive development of cancer and determining optimal personalized therapies. The insights provided by this book should be useful to researchers in the field of SHS and more generally to those interested in cutting-edge optimization solutions.
Julia L. Fleck received her Ph.D. in Systems Engineering from Boston University. She is a systems optimization consultant specialized in translational research.Christos G. Cassandras is Distinguished Professor of Engineering and Head of the Division of Systems Engineering at Boston University. He specializes in discrete events and hybrid systems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Control and optimization of Stochastic Hybrid Systems (SHS) constitute increasingly active elds of research. Perturbation Analysis (PA) techniques have proven to be particularly useful for SHS, since the size and complexity of such systems frequently render the use of exhaustive veri cation techniques prohibitive. This book focuses on applying PA to two di erent problems: Tra c Light Control (TLC) and control of cancer progression, both of which are viewed as dynamic optimization problems in a SHS environment. The TLC problem for a single intersection is modeled as a SHS, for which a quasi-dynamic control policy is proposed based on partial state information de ned by detecting whether vehicle backlogs are above or below certain controllable threshold values. The problem of controlling cancer progression is formulated within a Stochastic Hybrid Automaton framework, and an integrative closed-loop framework is proposed for describing the progressive development of cancer and determining optimal personalized therapies. The insights provided by this book should be useful to researchers in the field of SHS and more generally to those interested in cutting-edge optimization solutions. 224 pp. Englisch. N° de réf. du vendeur 9783659957406
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: L. Fleck JuliaJulia L. Fleck received her Ph.D. in Systems Engineering from Boston University. She is a systems optimization consultant specialized in translational research.Christos G. Cassandras is Distinguished Professor of Engine. N° de réf. du vendeur 159148394
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Control and optimization of Stochastic Hybrid Systems (SHS) constitute increasingly active ¿elds of research. Perturbation Analysis (PA) techniques have proven to be particularly useful for SHS, since the size and complexity of such systems frequently render the use of exhaustive veri¿cation techniques prohibitive. This book focuses on applying PA to two di¿erent problems: Träc Light Control (TLC) and control of cancer progression, both of which are viewed as dynamic optimization problems in a SHS environment. The TLC problem for a single intersection is modeled as a SHS, for which a quasi-dynamic control policy is proposed based on partial state information de¿ned by detecting whether vehicle backlogs are above or below certain controllable threshold values. The problem of controlling cancer progression is formulated within a Stochastic Hybrid Automaton framework, and an integrative closed-loop framework is proposed for describing the progressive development of cancer and determining optimal personalized therapies. The insights provided by this book should be useful to researchers in the field of SHS and more generally to those interested in cutting-edge optimization solutions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. N° de réf. du vendeur 9783659957406
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Control and optimization of Stochastic Hybrid Systems (SHS) constitute increasingly active elds of research. Perturbation Analysis (PA) techniques have proven to be particularly useful for SHS, since the size and complexity of such systems frequently render the use of exhaustive veri cation techniques prohibitive. This book focuses on applying PA to two di erent problems: Tra c Light Control (TLC) and control of cancer progression, both of which are viewed as dynamic optimization problems in a SHS environment. The TLC problem for a single intersection is modeled as a SHS, for which a quasi-dynamic control policy is proposed based on partial state information de ned by detecting whether vehicle backlogs are above or below certain controllable threshold values. The problem of controlling cancer progression is formulated within a Stochastic Hybrid Automaton framework, and an integrative closed-loop framework is proposed for describing the progressive development of cancer and determining optimal personalized therapies. The insights provided by this book should be useful to researchers in the field of SHS and more generally to those interested in cutting-edge optimization solutions. N° de réf. du vendeur 9783659957406
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Taschenbuch. Etat : Neu. Applications of Perturbation Analysis in Stochastic Hybrid Systems | Julia L. Fleck (u. a.) | Taschenbuch | 224 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659957406 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 102735697
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