9780817681517 - The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) de Boltyanski (18 resultados)

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Condición: New. Covering key areas of optimal control theory, this book uses new methods to set out a version of OCT's more refined 'maximum principle' aimed at solving the problem of constructing optimal control strategies for uncertain systems with some unknown parameters. Series: Systems & Control: Foundations and Applications. Num Pages: 454 pages, 36 black & white illustrations, biography. BIC Classification: PBKQ; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 813. . 2011. 2012th Edition. hardcover. . . . .

Condición: 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.

Condición: 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.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Condición: Brand New. 454 pages. 9.25x6.25x1.25 inches. In Stock.

Condición: New. Covering key areas of optimal control theory, this book uses new methods to set out a version of OCT's more refined 'maximum principle' aimed at solving the problem of constructing optimal control strategies for uncertain systems with some unknown parameters. Series: Systems & Control: Foundations and Applications. Num Pages: 454 pages, 36 black & white illustrations, biography. BIC Classification: PBKQ; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 813. . 2011. 2012th Edition. hardcover. . . . . Books ship from the US and Ireland.

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Hardcover. Condición: gut. 2011. The Robust Maximum Principle In englischer Sprache. pages.

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Buch. Condición: 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.

Condición: 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&nbspreview of&nbspclassical optimal control theoryPresents a new version of the maximum principle for the construction of optimal control strategies for .

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Buch. Condición: 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.