Hybrid Predictive Control for Dynamic Transport Problems (Record no. 57371)

000 -LEADER
fixed length control field 03843nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4471-4351-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112220.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121009s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447143512
-- 978-1-4471-4351-2
082 04 - CLASSIFICATION NUMBER
Call Number 629.8
100 1# - AUTHOR NAME
Author N�u�nez, Alfredo A.
245 10 - TITLE STATEMENT
Title Hybrid Predictive Control for Dynamic Transport Problems
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 172 p.
490 1# - SERIES STATEMENT
Series statement Advances in Industrial Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Hybrid Predictive Control: Mono-objective and Multi-objective Design -- Hybrid Predictive Control for a Dial-a-ride System -- Hybrid Predictive Control for Operational Decisions in Public Transport Systems.
520 ## - SUMMARY, ETC.
Summary, etc Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from the area of computational intelligence, this is shown to optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed-integer optimization problems dynamically, is readily extendable to other industrial processes. The main topics of this book are: ●hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO); ●HPC based on EMO for dial-a-ride systems; and ●HPC based on EMO for operational decisions in public transport systems. Hybrid Predictive Control for Dynamic Transport Problems is a comprehensive analysis of HPC and its application to dynamic transport systems. Introductory material on evolutionary algorithms is presented in summary in an appendix. The text will be of interest to control and transport engineers working on the operational optimization of transport systems and to academic researchers working with hybrid systems. The potential applications of the generic methods presented here in other process fields will appeal to a wider group of researchers, scientists and graduate students working in other control-related disciplines.
700 1# - AUTHOR 2
Author 2 S�aez, Doris A.
700 1# - AUTHOR 2
Author 2 Cort�es, Cristi�an E.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4351-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Decision making.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research, Management Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operation Research/Decision Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1430-9491
912 ## -
-- ZDB-2-ENG

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