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An Introduction to Optimal Control Theory, Aaron Strauss


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Автор: Aaron Strauss
Название:  An Introduction to Optimal Control Theory
ISBN: 9783540042525
Издательство: Springer
Классификация:
ISBN-10: 3540042520
Обложка/Формат: Paperback
Страницы: 154
Вес: 0.39 кг.
Дата издания: 09.05.1968
Серия: Lecture Notes in Economics and Mathematical Systems
Язык: English
Размер: 279 x 210 x 9
Основная тема: Business and Management
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: For example, many existing proofs in control theory for compact targets and uniqueness of solutions also hold for closed targets and non-uniqueness.

Introduction to Modern Traffic Flow Theory and Control

Автор: Boris S. Kerner
Название: Introduction to Modern Traffic Flow Theory and Control
ISBN: 3642424791 ISBN-13(EAN): 9783642424793
Издательство: Springer
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Цена: 113180.00 T
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Описание: This volume explains the nature of traffic breakdown and congestion through three-phase traffic theory. Readers will find a new method of highway traffic management and the background needed to research the complex system dynamics in traffic flow and transportation networks.

Optimal Control and Dynamic Games

Автор: Christophe Deissenberg; Richard F. Hartl
Название: Optimal Control and Dynamic Games
ISBN: 1441938397 ISBN-13(EAN): 9781441938398
Издательство: Springer
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Цена: 194730.00 T
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Описание: Optimal Control and Dynamic Games has been edited to honor the outstanding contributions of Professor Suresh Sethi in the fields of Applied Optimal Control.

Optimal Control of Nonlinear Processes

Автор: Dieter Grass; Jonathan P. Caulkins; Gustav Feichti
Название: Optimal Control of Nonlinear Processes
ISBN: 3642096395 ISBN-13(EAN): 9783642096396
Издательство: Springer
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Цена: 194730.00 T
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Описание: This volume is designed to be a lively introduction to the mathematics of this rapidly advancing subject, and a bridge to a number of hot topics in the economics of crime for current scholars.

Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems

Автор: Houmin Yan; G. George Yin; Qing Zhang
Название: Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems
ISBN: 1441941487 ISBN-13(EAN): 9781441941480
Издательство: Springer
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Цена: 153720.00 T
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Описание: It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.

Control Theory Methods in Economics

Автор: Jati Sengupta; Phillip Fanchon
Название: Control Theory Methods in Economics
ISBN: 1461378850 ISBN-13(EAN): 9781461378853
Издательство: Springer
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Цена: 139750.00 T
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Описание: This monograph provides an integrated view of control theory methods, synthesizing the three phases from feedback control to stochastic control and from stochastic control to adaptive control.

An Introduction to Actuarial Mathematics

Автор: Arjun K. Gupta; Tamas Varga
Название: An Introduction to Actuarial Mathematics
ISBN: 9048159490 ISBN-13(EAN): 9789048159499
Издательство: Springer
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Цена: 102480.00 T
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Описание: . . . . . . . . . . . . FINANCIAL MATHEMATICS . Compound Interest . MORTALITy . 1 Survival Time . LIFE INSURANCES AND ANNUITIES . Stochastic Cash Flows . Life Insurances . Endowments . Life Annuities . PREMIUMS . Net Premiums . Gross Premiums . RESERVES . Net Premium Reserves . Modified Reserves . 286 ANSWERS TO ODD-NuMBERED PROBLEMS .

Introduction to Process Control

Автор: Victor A. Skormin
Название: Introduction to Process Control
ISBN: 331942257X ISBN-13(EAN): 9783319422572
Издательство: Springer
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Цена: 71730.00 T
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Описание: This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers:

    Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning.
Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.
Introduction to the Theory and Application of Data Envelopment Analysis

Автор: Emmanuel Thanassoulis
Название: Introduction to the Theory and Application of Data Envelopment Analysis
ISBN: 1461355389 ISBN-13(EAN): 9781461355380
Издательство: Springer
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Цена: 186330.00 T
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Описание: 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants.

Introduction to the Theory of Nonlinear Optimization

Автор: Johannes Jahn
Название: Introduction to the Theory of Nonlinear Optimization
ISBN: 3642426573 ISBN-13(EAN): 9783642426575
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It presents fundamentals with particular emphasis on the application to problems in the calculus of variations, approximation and optimal control theory.

Introduction to the Theory of Games

Автор: Ferenc Forg?; Jeno Sz?p; Ferenc Szidarovszky
Название: Introduction to the Theory of Games
ISBN: 1441948112 ISBN-13(EAN): 9781441948113
Издательство: Springer
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Цена: 204040.00 T
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Описание: Game theory, defined in the broadest sense, is a collection of mathematical models designed for the analysis of strategic aspects of situations of conflict and cooperation in a broad spectrum of fields including economics, politics, biology, engineering, and operations research.

Introduction to the Theory of Operational Research

Автор: van der Veen, B
Название: Introduction to the Theory of Operational Research
ISBN: 3662421577 ISBN-13(EAN): 9783662421574
Издательство: Springer
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Цена: 81050.00 T
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Optimal Control of Discrete Time Stochastic Systems

Автор: C. Striebel
Название: Optimal Control of Discrete Time Stochastic Systems
ISBN: 3540071814 ISBN-13(EAN): 9783540071815
Издательство: Springer
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Цена: 102480.00 T
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