東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Distributed optimization, game and l...

Wang, Huiwei.

Linked to FindBook

Google Book

Amazon

博客來

Distributed optimization, game and learning algorithms = theory and applications in smart grid systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed optimization, game and learning algorithms/ by Huiwei Wang, Huaqing Li, Bo Zhou.
Reminder of title:	theory and applications in smart grid systems /
Author:	Wang, Huiwei.
other author:	Li, Huaqing.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xvii, 217 p. :ill., digital ;24 cm.
[NT 15003449]:	Cooperative Distributed Optimization in Multiagent Networks with Delays -- Constrained Consensus of Multi-Agent Systems with Time-Varying Topology -- Distributed Optimization under Inequality Constraints and Random Projections -- Accelerated Distributed Optimization over Digraphs with Stochastic Matrices -- Linear Convergence for Constrained Optimization over Time-Varying Digraphs -- Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs -- Reinforcement Learning in Energy Trading Game Among Smart Microgrids -- Reinforcement Learning for Constrained Games with Incomplete Information -- Reinforcement Learning for PHEV Route Choice based on Congestion Game.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-981-33-4528-7
ISBN:	9789813345287

Distributed optimization, game and learning algorithms = theory and applications in smart grid systems /
Wang, Huiwei.

Distributed optimization, game and learning algorithmstheory and applications in smart grid systems /[electronic resource] :by Huiwei Wang, Huaqing Li, Bo Zhou. - Singapore :Springer Singapore :2021. - xvii, 217 p. :ill., digital ;24 cm.

Cooperative Distributed Optimization in Multiagent Networks with Delays -- Constrained Consensus of Multi-Agent Systems with Time-Varying Topology -- Distributed Optimization under Inequality Constraints and Random Projections -- Accelerated Distributed Optimization over Digraphs with Stochastic Matrices -- Linear Convergence for Constrained Optimization over Time-Varying Digraphs -- Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs -- Reinforcement Learning in Energy Trading Game Among Smart Microgrids -- Reinforcement Learning for Constrained Games with Incomplete Information -- Reinforcement Learning for PHEV Route Choice based on Congestion Game.

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

ISBN: 9789813345287

Standard No.: 10.1007/978-981-33-4528-7doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: TK7881.15 / .W364 2021

Dewey Class. No.: 519.6

Distributed optimization, game and learning algorithms = theory and applications in smart grid systems /
LDR:02210nmm a2200325 a 4500 001 2237463
003 DE-He213
005 20210625152425.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789813345287 $q (electronic bk.)
020 $a 9789813345270 $q (paper)
024 7 $a 10.1007/978-981-33-4528-7 $2 doi
035 $a 978-981-33-4528-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7881.15 $b .W364 2021
072 7 $a THR $2 bicssc
072 7 $a TEC046000 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 519.6 $2 23
090 $a TK7881.15 $b .W246 2021
100 1 $a Wang, Huiwei. $3 3489699
245 1 0 $a Distributed optimization, game and learning algorithms $h [electronic resource] : $b theory and applications in smart grid systems / $c by Huiwei Wang, Huaqing Li, Bo Zhou.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xvii, 217 p. : $b ill., digital ; $c 24 cm.
505 0 $a Cooperative Distributed Optimization in Multiagent Networks with Delays -- Constrained Consensus of Multi-Agent Systems with Time-Varying Topology -- Distributed Optimization under Inequality Constraints and Random Projections -- Accelerated Distributed Optimization over Digraphs with Stochastic Matrices -- Linear Convergence for Constrained Optimization over Time-Varying Digraphs -- Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs -- Reinforcement Learning in Energy Trading Game Among Smart Microgrids -- Reinforcement Learning for Constrained Games with Incomplete Information -- Reinforcement Learning for PHEV Route Choice based on Congestion Game.
520 $a This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.
650 0 $a Mathematical optimization. $3 517763
650 0 $a Power electronics. $3 604714
650 0 $a Game theory. $3 532607
650 0 $a Smart power grids. $3 1567050
650 1 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 891103
650 2 4 $a Optimization. $3 891104
700 1 $a Li, Huaqing. $3 3489700
700 1 $a Zhou, Bo. $3 3171288
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-33-4528-7
950 $a Energy (SpringerNature-40367)