Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Recent Advances in Model Predictive ...
~
Faulwasser, Timm.
Recent Advances in Model Predictive Control = Theory, Algorithms, and Applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Recent Advances in Model Predictive Control/ edited by Timm Faulwasser, Matthias A. Müller, Karl Worthmann.
Reminder of title:
Theory, Algorithms, and Applications /
other author:
Faulwasser, Timm.
Description:
IX, 244 p. 53 illus., 41 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
System theory. -
Online resource:
https://doi.org/10.1007/978-3-030-63281-6
ISBN:
9783030632816
Recent Advances in Model Predictive Control = Theory, Algorithms, and Applications /
Recent Advances in Model Predictive Control
Theory, Algorithms, and Applications /[electronic resource] :edited by Timm Faulwasser, Matthias A. Müller, Karl Worthmann. - 1st ed. 2021. - IX, 244 p. 53 illus., 41 illus. in color.online resource. - Lecture Notes in Control and Information Sciences,4850170-8643 ;. - Lecture Notes in Control and Information Sciences,457.
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.
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.
ISBN: 9783030632816
Standard No.: 10.1007/978-3-030-63281-6doiSubjects--Topical Terms:
566168
System theory.
LC Class. No.: Q295
Dewey Class. No.: 519
Recent Advances in Model Predictive Control = Theory, Algorithms, and Applications /
LDR
:03708nam a22004335i 4500
001
1051666
003
DE-He213
005
20210623153600.0
007
cr nn 008mamaa
008
220103s2021 gw | s |||| 0|eng d
020
$a
9783030632816
$9
978-3-030-63281-6
024
7
$a
10.1007/978-3-030-63281-6
$2
doi
035
$a
978-3-030-63281-6
050
4
$a
Q295
050
4
$a
QA402.3-402.37
072
7
$a
GPFC
$2
bicssc
072
7
$a
SCI064000
$2
bisacsh
072
7
$a
GPFC
$2
thema
082
0 4
$a
519
$2
23
245
1 0
$a
Recent Advances in Model Predictive Control
$h
[electronic resource] :
$b
Theory, Algorithms, and Applications /
$c
edited by Timm Faulwasser, Matthias A. Müller, Karl Worthmann.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
IX, 244 p. 53 illus., 41 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Lecture Notes in Control and Information Sciences,
$x
0170-8643 ;
$v
485
505
0
$a
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
$a
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.
650
0
$a
System theory.
$3
566168
650
0
$a
Mathematical optimization.
$3
527675
650
1 4
$a
Systems Theory, Control.
$3
669337
650
2 4
$a
Optimization.
$3
669174
700
1
$a
Faulwasser, Timm.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1356193
700
1
$a
Müller, Matthias A.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1356194
700
1
$a
Worthmann, Karl.
$e
author.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1285986
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030632809
776
0 8
$i
Printed edition:
$z
9783030632823
776
0 8
$i
Printed edition:
$z
9783030632830
830
0
$a
Lecture Notes in Control and Information Sciences,
$x
0170-8643 ;
$v
457
$3
1254759
856
4 0
$u
https://doi.org/10.1007/978-3-030-63281-6
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
912
$a
ZDB-2-LNI
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login