The Robust Maximum Principle (Record no. 100221)

000 -LEADER
fixed length control field 04923nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-0-8176-8152-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083227.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111104s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780817681524
-- 978-0-8176-8152-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-8176-8152-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q295
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA402.3-402.37
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPFC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI064000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Boltyanski, Vladimir G.
Relator term author.
245 14 - TITLE STATEMENT
Title The Robust Maximum Principle
Medium [electronic resource] :
Remainder of title Theory and Applications /
Statement of responsibility, etc by Vladimir G. Boltyanski, Alexander S. Poznyak.
264 #1 -
-- Boston :
-- Birkhäuser Boston,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 432p. 36 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Systems & Control: Foundations & Applications
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- Introduction -- I Topics of Classical Optimal Control -- 1 Maximum Principle -- 2 Dynamic Programming -- 3 Linear Quadratic Optimal Control -- 4 Time-Optimization Problem -- II Tent Method -- 5 Tent Method in Finite Dimensional Spaces -- 6 Extrenal Problems in Banach Space -- III Robust Maximum Principle for Deterministic Systems -- 7 Finite Collection of Dynamic Systems -- 8 Multi-Model Bolza and LQ-Problem -- 9 Linear Multi-Model Time-Optimization -- 10 A Measured Space as Uncertainty Set -- 11 Dynamic Programming for Robust Optimization -- 12 Min-Max Sliding Mode Control -- 13 Multimodel Differential Games -- IV Robust Maximum Principle for Stochastic Systems -- 14 Multi-Plant Robust Control -- 15 LQ-Stochastic Multi-Model Control -- 16 A Compact as Uncertainty Set -- References -- Index.
520 ## - SUMMARY, ETC.
Summary, etc 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. Referred to 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, covering the principal topics of the maximum principle and dynamic programming and considering the important sub-problems of linear quadratic optimal control and time optimization. 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. Key features and topics include: * A version of the tent method in Banach spaces * How to apply the tent method to a generalization of the Kuhn-Tucker Theorem as well as the Lagrange Principle for infinite-dimensional spaces * A detailed consideration of the min-max linear quadratic (LQ) control problem * The application of obtained results from dynamic programming derivations to multi-model sliding mode control and multi-model differential games * Two examples, dealing with production planning and reinsurance-dividend management, that illustrate the use of the robust maximum principle in stochastic systems Using powerful new tools in optimal control theory, The Robust Maximum Principle 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical optimization.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Vibration.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Systems Theory, Control.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Control.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Calculus of Variations and Optimal Control; Optimization.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Vibration, Dynamical Systems, Control.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Appl.Mathematics/Computational Methods of Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Poznyak, Alexander S.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780817681517
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Systems & Control: Foundations & Applications
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-8176-8152-4
912 ## -
-- ZDB-2-SMA

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