國立虎尾科技大學 |

Network Optimization Methods in Passivity-Based Cooperative Control

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Network Optimization Methods in Passivity-Based Cooperative Control/ by Miel Sharf.
Author:	Sharf, Miel.
Description:	XX, 235 p. 54 illus., 34 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-72991-2
ISBN:	9783030729912

Network Optimization Methods in Passivity-Based Cooperative Control
Sharf, Miel.

Network Optimization Methods in Passivity-Based Cooperative Control[electronic resource] /by Miel Sharf. - 1st ed. 2021. - XX, 235 p. 54 illus., 34 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

Introduction -- A Network Optimization Framework for MIMO Systems -- A Network Optimization Framework for Passive-Short Agents -- A Network Optimization Framework for Controller Synthesis -- Applications of the Network Optimization Framework in Data-Driven Control.

This book establishes an important mathematical connection between cooperative control problems and network optimization problems. It shows that many cooperative control problems can in fact be understood, under certain passivity assumptions, using a pair of static network optimization problems. Merging notions from passivity theory and network optimization, it describes a novel network optimization approach that can be applied to the synthesis of controllers for diffusively-coupled networks of passive (or passivity-short) dynamical systems. It also introduces a data-based, model-free approach for the synthesis of network controllers for multi-agent systems with passivity-short agents. Further, the book describes a method for monitoring link faults in multi-agent systems using passivity theory and graph connectivity. It reports on some practical case studies describing the effectivity of the developed approaches in vehicle networks. All in all, this book offers an extensive source of information and novel methods in the emerging field of multi-agent cooperative control, paving the way to future developments of autonomous systems for various application domains.

ISBN: 9783030729912

Standard No.: 10.1007/978-3-030-72991-2doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Network Optimization Methods in Passivity-Based Cooperative Control
LDR:02922nam a22004095i 4500 001 1054720
003 DE-He213
005 20211014194305.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030729912 $9 978-3-030-72991-2
024 7 $a 10.1007/978-3-030-72991-2 $2 doi
035 $a 978-3-030-72991-2
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Sharf, Miel. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1359849
245 1 0 $a Network Optimization Methods in Passivity-Based Cooperative Control $h [electronic resource] / $c by Miel Sharf.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XX, 235 p. 54 illus., 34 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 Springer Theses, Recognizing Outstanding Ph.D. Research, $x 2190-5061
505 0 $a Introduction -- A Network Optimization Framework for MIMO Systems -- A Network Optimization Framework for Passive-Short Agents -- A Network Optimization Framework for Controller Synthesis -- Applications of the Network Optimization Framework in Data-Driven Control.
520 $a This book establishes an important mathematical connection between cooperative control problems and network optimization problems. It shows that many cooperative control problems can in fact be understood, under certain passivity assumptions, using a pair of static network optimization problems. Merging notions from passivity theory and network optimization, it describes a novel network optimization approach that can be applied to the synthesis of controllers for diffusively-coupled networks of passive (or passivity-short) dynamical systems. It also introduces a data-based, model-free approach for the synthesis of network controllers for multi-agent systems with passivity-short agents. Further, the book describes a method for monitoring link faults in multi-agent systems using passivity theory and graph connectivity. It reports on some practical case studies describing the effectivity of the developed approaches in vehicle networks. All in all, this book offers an extensive source of information and novel methods in the emerging field of multi-agent cooperative control, paving the way to future developments of autonomous systems for various application domains.
650 0 $a Control engineering. $3 1249728
650 0 $a Mathematical optimization. $3 527675
650 0 $a Aerospace engineering. $3 686400
650 0 $a Astronautics. $3 646219
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Optimization. $3 669174
650 2 4 $a Aerospace Technology and Astronautics. $3 683885
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030729905
776 0 8 $i Printed edition: $z 9783030729929
776 0 8 $i Printed edition: $z 9783030729936
830 0 $a Springer Theses, Recognizing Outstanding Ph.D. Research, $x 2190-5053 $3 1253569
856 4 0 $u https://doi.org/10.1007/978-3-030-72991-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)