Economic Model Predictive Control (Record no. 79283)

000 -LEADER
fixed length control field 04369nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-319-41108-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221106.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160727s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319411088
-- 978-3-319-41108-8
082 04 - CLASSIFICATION NUMBER
Call Number 629.8312
082 04 - CLASSIFICATION NUMBER
Call Number 003
100 1# - AUTHOR NAME
Author Ellis, Matthew.
245 10 - TITLE STATEMENT
Title Economic Model Predictive Control
Sub Title Theory, Formulations and Chemical Process Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXIV, 292 p. 95 illus., 16 illus. in color.
490 1# - SERIES STATEMENT
Series statement Advances in Industrial Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Background on Nonlinear Systems, Control, and Optimization -- Brief Overview of EMPC Methods and some Preliminary Results -- Lyapunov-Based EMPC -- State Estimation and EMPC -- Two-Layer EMPC Systems -- EMPC Systems: Computational Efficiency and Real-Time Implementation.
520 ## - SUMMARY, ETC.
Summary, etc This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes: Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes. In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application. The authors present a rich collection of new research topics and references to significant recent work makingEconomic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.
700 1# - AUTHOR 2
Author 2 Liu, Jinfeng.
700 1# - AUTHOR 2
Author 2 Christofides, Panagiotis D.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-41108-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Chemistry, Technical.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production management.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control and Systems Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial Chemistry.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production .
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2193-1577
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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