Recent Advances in Model Predictive Control (Record no. 78262)

000 -LEADER
fixed length control field 04404nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-030-63281-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220143.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210417s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030632816
-- 978-3-030-63281-6
082 04 - CLASSIFICATION NUMBER
Call Number 003
245 10 - TITLE STATEMENT
Title Recent Advances in Model Predictive Control
Sub Title Theory, Algorithms, and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 244 p. 53 illus., 41 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Control and Information Sciences,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Predictive path-following without terminal constraints -- Dissipativity in economic model predictive control: beyond steady-state optimality -- Primal or dual terminal constraints in Economic MPC? –s Comparison and insights -- Multi-level iterations for economic nonlinear model predictive control -- On closed-loop dynamics of ADMM-based MPC -- Distributed optimization and control with ALADIN -- Model predictive control for the internet of things -- Hybrid GP modeling applied to economic stochastic MPC of batch processes -- Collision avoidance for mobile robots based on an occupancy grid.
520 ## - SUMMARY, ETC.
Summary, etc This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.
700 1# - AUTHOR 2
Author 2 Faulwasser, Timm.
700 1# - AUTHOR 2
Author 2 Müller, Matthias A.
700 1# - AUTHOR 2
Author 2 Worthmann, Karl.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-63281-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
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-- computer
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-- rdamedia
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-- online resource
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- System theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control theory.
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-- Mathematical optimization.
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-- Systems Theory, Control .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Optimization.
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-- 1610-7411 ;
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