Model Predictive control (Record no. 955)

000 -LEADER
fixed length control field 06871nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-0-85729-398-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20141014113435.0
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 110826s2007 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857293985
-- 978-0-85729-398-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-85729-398-5
Source of number or code doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ212-225
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.8
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Camacho, E. F.
Relator term author.
245 10 - TITLE STATEMENT
Title Model Predictive control
Medium [electronic resource] /
Statement of responsibility, etc by E. F. Camacho, C. Bordons.
250 ## - EDITION STATEMENT
Edition statement Second Edition.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London :
Name of publisher, distributor, etc Springer London :
-- Imprint: Springer,
Date of publication, distribution, etc 2007.
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2007.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 405 p.
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 Advanced Textbooks in Control and Signal Processing,
International Standard Serial Number 1439-2232
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction to Model Predictive Control -- 1.1 MPC Strategy -- 1.2 Historical Perspective -- 1.3 Industrial Technology -- 1.4 Outline of the Chapters -- 2 Model Predictive Controllers -- 2.1 MPC Elements -- 2.2 Review of Some MPC Algorithms -- 2.3 State Space Formulation -- 3 Commercial Model Predictive Control Schemes -- 3.1 Dynamic Matrix Control -- 3.2 Model Algorithmic Control -- 3.3 Predictive Functional Control -- 3.4 Case Study: A Water Heater -- 3.5 Exercises -- 4 Generalized Predictive Control -- 4.1 Introduction -- 4.2 Formulation of Generalized Predictive Control -- 4.3 The Coloured Noise Case -- 4.4 An Example -- 4.5 Closed-Loop Relationships -- 4.6 The Role of the T Polynomial -- 4.7 The P Polynomial -- 4.8 Consideration of Measurable Disturbances -- 4.9 Use of a Different Predictor in GPC -- 4.10 Constrained Receding Horizon Predictive Control -- 4.11 Stable GPC -- 4.12 Exercises -- 5 Simple Implementation of GPC for Industrial Processes -- 5.1 Plant Model -- 5.2 The Dead Time Multiple of the Sampling Time Case -- 5.3 The Dead Time Nonmultiple of the Sampling Time Case -- 5.4 Integrating Processes -- 5.5 Consideration of Ramp Setpoints -- 5.6 Comparison with Standard GPC -- 5.7 Stability Robustness Analysis -- 5.8 Composition Control in an Evaporator -- 5.9 Exercises -- 6 Multivariable Model Predictive Control -- 6.1 Derivation of Multivariable GPC -- 6.2 Obtaining a Matrix Fraction Description -- 6.3 State Space Formulation -- 6.4 Case Study: Flight Control -- 6.5 Convolution Models Formulation -- 6.6 Case Study: Chemical Reactor -- 6.7 Dead Time Problems -- 6.8 Case Study: Distillation Column -- 6.9 Multivariable MPC and Transmission Zeros -- 6.10 Exercises -- 7 Constrained Model Predictive Control -- 7.1 Constraints and MPC -- 7.2 Constraints and Optimization -- 7.3 Revision of Main Quadratic Programming Algorithms -- 7.4 Constraints Handling -- 7.5 1-norm -- 7.6 Case Study: A Compressor -- 7.7 Constraint Management -- 7.8 Constrained MPC and Stability -- 7.9 Multiobjective MPC -- 7.10 Exercises -- 8 Robust Model Predictive Control -- 8.1 Process Models and Uncertainties -- 8.2 Objective Functions -- 8.3 Robustness by Imposing Constraints -- 8.4 Constraint Handling -- 8.5 Illustrative Examples -- 8.6 Robust MPC and Linear Matrix Inequalities -- 8.7 Closed-Loop Predictions -- 8.8 Exercises -- 9 Nonlinear Model Predictive Control -- 9.1 Nonlinear MPC Versus Linear MPC -- 9.2 Nonlinear Models -- 9.3 Solution of the NMPC Problem -- 9.4 Techniques for Nonlinear Predictive Control -- 9.5 Stability and Nonlinear MPC -- 9.6 Case Study: pH Neutralization Process -- 9.7 Exercises -- 10 Model Predictive Control and Hybrid Systems -- 10.1 Hybrid System Modelling -- 10.2 Example: A Jacket Cooled Batch Reactor -- 10.3 Model Predictive Control of MLD Systems -- 10.4 Piecewise Affine Systems -- 10.5 Exercises -- 11 Fast Methods for Implementing Model Predictive Control -- 11.1 Piecewise Affinity of MPC -- 11.2 MPC and Multiparametric Programming -- 11.3 Piecewise Implementation of MPC -- 11.4 Fast Implementation of MPC forUncertain Systems -- 11.5 Approximated Implementation for MPC -- 11.6 Fast Implementation of MPC and Dead Time Considerations -- 11.7 Exercises -- 12 Applications -- 12.1 Solar Power Plant -- 12.2 Pilot Plant -- 12.3 Model Predictive Control in a Sugar Refinery -- 12.4 Olive Oil Mill -- 12.5 Mobile Robot -- A Revision of the Simplex Method -- A.1 Equality Constraints -- A.2 Finding an Initial Solution -- A.3 Inequality Constraints -- B Dynamic Programming and Linear Quadratic Optimal Control -- B.1 LinearQuadratic Problem -- B.2 InfiniteHorizon -- References.
520 ## - SUMMARY, ETC.
Summary, etc From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications. All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and Matlab® programs to aid in their solution can be downloaded from the authors' website at http://www.esi.us.es/MPCBOOK. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chemical engineering.
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 Electronics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
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 Systems Theory, Control.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Industrial Chemistry/Chemical Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electronics and Microelectronics, Instrumentation.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bordons, C.
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 9781852336943
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advanced Textbooks in Control and Signal Processing,
-- 1439-2232
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-398-5
912 ## -
-- ZDB-2-ENG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Books

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