The Fictioning Horror Sale
 
 

Recently Viewed clear list


Original Essays | Yesterday, 10:00am

Lois Leveen: IMG Forsooth Me Not: Shakespeare, Juliet, Her Nurse, and a Novel



There's this writer, William Shakespeare. Perhaps you've heard of him. He wrote this play, Romeo and Juliet. Maybe you've heard of it as well. It's... Continue »
  1. $18.19 Sale Hardcover add to wish list

    Juliet's Nurse

    Lois Leveen 9781476757445

spacer
Qualifying orders ship free.
$160.50
New Hardcover
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
25 Remote Warehouse Mathematics- Applied

The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications)

by

The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) Cover

 

Synopses & Reviews

Publisher Comments:

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, covering its principle 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: * An examination of Crandall & Lions viscosity solutions for non-smooth situations in optimal control * 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.

Synopsis:

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.

Synopsis:

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

Table of Contents

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.

Product Details

ISBN:
9780817681517
Author:
Boltyanski, Vladimir G.
Publisher:
Birkhauser Boston
Author:
Boltyanski, V. G.
Author:
Poznyak, Alexander
Author:
Poznyak, Alexander S.
Subject:
Applied
Subject:
Banach spaces
Subject:
Feynman "Kac formula
Subject:
Kuhn "Tucker Theorem
Subject:
Lagrange principle
Subject:
Riccati differential equation
Subject:
deterministic systems
Subject:
dynamic programming methods
Subject:
Linear Quadratic Control
Subject:
maximum robust principle
Subject:
min-max problem
Subject:
optimal control theory
Subject:
robust maximum principle
Subject:
Stochastic systems.
Subject:
tent method
Subject:
Viscosity solutions.
Subject:
Systems Theory, Control
Subject:
Control
Subject:
Calculus of Variations and Optimal Control; Optimization
Subject:
Vibration, Dynamical Systems, Control
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Mathematics-Applied
Subject:
System Theory
Copyright:
Edition Description:
2012
Series:
Systems & Control: Foundations & Applications
Publication Date:
20110630
Binding:
HARDCOVER
Language:
English
Pages:
454
Dimensions:
235 x 155 mm

Related Subjects


Science and Mathematics » Environmental Studies » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Calculus » General
Science and Mathematics » Mathematics » Systems Theory

The Robust Maximum Principle: Theory and Applications (Systems & Control: Foundations & Applications) New Hardcover
0 stars - 0 reviews
$160.50 In Stock
Product details 454 pages Birkhauser Boston - English 9780817681517 Reviews:
"Synopsis" by , 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.
"Synopsis" by , 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
spacer
spacer
  • back to top
Follow us on...




Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.