Nonlinear Model Predictive Control (Record no. 80283)

000 -LEADER
fixed length control field 05033nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-319-46024-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222007.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161110s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319460246
-- 978-3-319-46024-6
082 04 - CLASSIFICATION NUMBER
Call Number 629.8312
082 04 - CLASSIFICATION NUMBER
Call Number 003
100 1# - AUTHOR NAME
Author Grüne, Lars.
245 10 - TITLE STATEMENT
Title Nonlinear Model Predictive Control
Sub Title Theory and Algorithms /
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 456 p. 80 illus., 22 illus. in color.
490 1# - SERIES STATEMENT
Series statement Communications and Control Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Discrete-Time and Sampled-Data Systems -- Nonlinear Model Predictive Control -- Infinite-Horizon Optimal Control -- Stability and Suboptimality Using Stabilizing Constraints -- Stability and Suboptimality Without Stabilizing Constraints -- Feasibility and Robustness -- Economic Nonlinear Model Predictive Control -- Distributed Nonlinear Model Predictive Control -- Variants and Extensions -- Numerical Discretization -- Numerical Optimal Control of Nonlinear Systems -- Appendix: NMPC Software Supporting This Book.
520 ## - SUMMARY, ETC.
Summary, etc This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. This book (second edition) has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.
700 1# - AUTHOR 2
Author 2 Pannek, Jürgen.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-46024-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- System theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Chemistry, Technical.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automotive engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control and Systems Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Systems Theory, Control .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial Chemistry.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automotive Engineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2197-7119
912 ## -
-- ZDB-2-ENG
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-- ZDB-2-SXE

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