國立虎尾科技大學 |

Submodularity in Dynamics and Control of Networked Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Submodularity in Dynamics and Control of Networked Systems/ by Andrew Clark, Basel Alomair, Linda Bushnell, Radha Poovendran.
作者:	Clark, Andrew.
其他作者:	Alomair, Basel.
面頁冊數:	XVII, 210 p. 63 illus., 48 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-26977-1
ISBN:	9783319269771

Submodularity in Dynamics and Control of Networked Systems
Clark, Andrew.

Submodularity in Dynamics and Control of Networked Systems[electronic resource] /by Andrew Clark, Basel Alomair, Linda Bushnell, Radha Poovendran. - 1st ed. 2016. - XVII, 210 p. 63 illus., 48 illus. in color.online resource. - Communications and Control Engineering,0178-5354. - Communications and Control Engineering,.

Part I: Submodular Functions and Optimization -- Submodular Functions and Matroids -- Centralized Submodular Maximization -- Distributed Submodular Maximization -- Submodularity in Dynamics and Control -- Background on Control of Networked Systems -- Submodular Optimization for Smooth Convergence in Networked Systems -- Selecting Catalyst Nodes for Synchronization -- Input Selection for Robustness to Noise -- Input Node Selection under Noise Injection Attacks -- Input Node Selection for Joint Performance and Controllability.

This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems. In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems. The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.

ISBN: 9783319269771

Standard No.: 10.1007/978-3-319-26977-1doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Submodularity in Dynamics and Control of Networked Systems
LDR:03768nam a22004095i 4500 001 972978
003 DE-He213
005 20200701205552.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319269771 $9 978-3-319-26977-1
024 7 $a 10.1007/978-3-319-26977-1 $2 doi
035 $a 978-3-319-26977-1
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 Clark, Andrew. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1104107
245 1 0 $a Submodularity in Dynamics and Control of Networked Systems $h [electronic resource] / $c by Andrew Clark, Basel Alomair, Linda Bushnell, Radha Poovendran.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XVII, 210 p. 63 illus., 48 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 Communications and Control Engineering, $x 0178-5354
505 0 $a Part I: Submodular Functions and Optimization -- Submodular Functions and Matroids -- Centralized Submodular Maximization -- Distributed Submodular Maximization -- Submodularity in Dynamics and Control -- Background on Control of Networked Systems -- Submodular Optimization for Smooth Convergence in Networked Systems -- Selecting Catalyst Nodes for Synchronization -- Input Selection for Robustness to Noise -- Input Node Selection under Noise Injection Attacks -- Input Node Selection for Joint Performance and Controllability.
520 $a This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems. In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems. The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.
650 0 $a Control engineering. $3 1249728
650 0 $a System theory. $3 566168
650 0 $a Electrical engineering. $3 596380
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Systems Theory, Control. $3 669337
650 2 4 $a Communications Engineering, Networks. $3 669809
700 1 $a Alomair, Basel. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1268104
700 1 $a Bushnell, Linda. $e author. $1 https://orcid.org/0000-0002-8751-2409 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1268105
700 1 $a Poovendran, Radha. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1210233
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319269757
776 0 8 $i Printed edition: $z 9783319269764
776 0 8 $i Printed edition: $z 9783319800516
830 0 $a Communications and Control Engineering, $x 0178-5354 $3 1254247
856 4 0 $u https://doi.org/10.1007/978-3-319-26977-1
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)