Both refining and extending previous publications by the authors, the material in this monograph has been class-tested in mathematical institutions throughout the world. Covering some of the key areas of optimal control theory (OCT)--a rapidly expanding field that has developed to analyze the optimal behavior of a constrained process over time--the authors use new methods to set out a version of OCT's more refined 'maximum principle' designed to solve the problem of constructing optimal control strategies for uncertain systems where some parameters are unknown. Known as a 'min-max' problem, this type of difficulty occurs frequently when dealing with finite uncertain sets.
The text begins with a standalone section that reviews classical optimal control theory. Moving on to examine the tent method in detail, the book then presents its core material, which is a more robust maximum principle for both deterministic and stochastic systems. The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games.
Using powerful new tools in optimal control theory, this book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control.
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 456 | Sprache: Englisch | Produktart: Bücher | Both refining and extending previous publications by the authors, the material in this monograph has been class-tested in mathematical institutions throughout the world. Covering some of the key areas of optimal control theory (OCT)¿a rapidly expanding field that has developed to analyze the optimal behavior of a constrained process over time¿the authors use new methods to set out a version of OCT¿s more refined ¿maximum principle¿ designed to solve the problem of constructing optimal control strategies for uncertain systems where some parameters are unknown. Known as a ¿min-max¿ problem, this type of difficulty occurs frequently when dealing with finite uncertain sets.The text begins with a standalone section that reviews classical optimal control theory. Moving on to examine the tent method in detail, the book then presents its core material, which is a more robust maximum principle for both deterministic and stochastic systems. The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. Using powerful new tools in optimal control theory, this book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control. N° de réf. du vendeur 10784834/2
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Covering some of the key areas of optimal control theory (OCT), a rapidly expanding field, the authors use new methods to set out a version of OCT's more refined 'maximum principle.' The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. This book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control. 456 pp. Englisch. N° de réf. du vendeur 9780817681517
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Class-tested in mathematical institutions throughout the worldIncludes a stand-alone review of classical optimal control theoryPresents a new version of the maximum principle for the construction of optimal control strategies for . N° de réf. du vendeur 5975952
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Both refining and extending previous publications by the authors, the material in thismonograph has been class-tested in mathematical institutions throughout the world. Covering some of the key areas of optimal control theory (OCT)¿a rapidly expanding field that has developed to analyze the optimal behavior of a constrained process over time¿the authors use new methods to set out a version of OCT¿s more refined¿maximum principle¿ designed to solve the problem of constructing optimal control strategies for uncertain systems where some parameters are unknown. Known as a ¿min-max¿ problem, this type of difficulty occurs frequently when dealing with finite uncertain sets.The text begins with a standalone section that reviews classical optimal control theory. Moving on to examine the tent method in detail, the book thenpresents its core material, which is a more robust maximum principle for both deterministic and stochastic systems. The results obtainedhave applicationsin production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games.Using powerful new tools in optimal control theory, this book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 456 pp. Englisch. N° de réf. du vendeur 9780817681517
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 456 | Sprache: Englisch | Produktart: Bücher | Both refining and extending previous publications by the authors, the material in this monograph has been class-tested in mathematical institutions throughout the world. Covering some of the key areas of optimal control theory (OCT)¿a rapidly expanding field that has developed to analyze the optimal behavior of a constrained process over time¿the authors use new methods to set out a version of OCT¿s more refined ¿maximum principle¿ designed to solve the problem of constructing optimal control strategies for uncertain systems where some parameters are unknown. Known as a ¿min-max¿ problem, this type of difficulty occurs frequently when dealing with finite uncertain sets.The text begins with a standalone section that reviews classical optimal control theory. Moving on to examine the tent method in detail, the book then presents its core material, which is a more robust maximum principle for both deterministic and stochastic systems. The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. Using powerful new tools in optimal control theory, this book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control. N° de réf. du vendeur 10784834/1
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