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Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems (Record no. 22788)

000 -LEADER
fixed length control field 03572nam a22005295i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151444.0
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 100301s2010 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441906304
978-1-4419-0630-4
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q295
Classification number QA402.3-402.37
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2010.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dragan, Vasile.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
Medium [electronic resource] /
Statement of responsibility, etc by Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica.
250 ## - EDITION STATEMENT
Edition statement First.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Elements of probability theory -- Discrete-time linear equations defined by positive operators -- Mean square exponential stability -- Structural properties of linear stochastic systems -- Discrete-time Riccati equations of stochastic control -- Linear quadratic optimization problems -- Discrete-time stochastic optimal control -- Robust stability and robust stabilization of discrete-time linear stochastic systems.
520 ## - SUMMARY, ETC.
Summary, etc In this monograph the authors develop a theory for the robust control of discrete-time stochastic systems, subjected to both independent random perturbations and to Markov chains. Such systems are widely used to provide mathematical models for real processes in fields such as aerospace engineering, communications, manufacturing, finance and economy. The theory is a continuation of the authors’ work presented in their previous book entitled "Mathematical Methods in Robust Control of Linear Stochastic Systems" published by Springer in 2006. Key features: - Provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps which are usually treated separately in the control literature - Covers preliminary material on probability theory, independent random variables, conditional expectation and Markov chains - Proposes new numerical algorithms to solve coupled matrix algebraic Riccati equations - Leads the reader in a natural way to the original results through a systematic presentation - Presents new theoretical results with detailed numerical examples The monograph is geared to researchers and graduate students in advanced control engineering, applied mathematics, mathematical systems theory and finance. It is also accessible to undergraduate students with a fundamental knowledge in the theory of stochastic systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Functional equations.
Topical term or geographic name as entry element Systems theory.
Topical term or geographic name as entry element Numerical analysis.
Topical term or geographic name as entry element Mathematical optimization.
Topical term or geographic name as entry element Distribution (Probability theory).
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Systems Theory, Control.
Topical term or geographic name as entry element Optimization.
Topical term or geographic name as entry element Numerical Analysis.
Topical term or geographic name as entry element Difference and Functional Equations.
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Morozan, Toader.
Relator term author.
Personal name Stoica, Adrian-Mihail.
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 9781441906298
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-0630-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library519

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