東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Cooperative control of multi-agent s...

Liu, Zhenwei.

FindBook

Google Book

Amazon

博客來

Cooperative control of multi-agent systems = a scale-free protocol design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cooperative control of multi-agent systems/ by Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi.
其他題名:	a scale-free protocol design /
作者:	Liu, Zhenwei.
其他作者:	Nojavanzadeh, Donya.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xiii, 392 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Introduction -- Notations and Preliminaries -- Synchronization of Continuous-Time MAS -- Synchronization of Discrete-Time MAS -- Regulated State Synchronization of Homogeneous MAS in the Presence of Input Delays -- State Synchronization of Homogeneous Continuous-Time MAS in the Presence of Nonuniform Communication Delays -- State Synchronization of Homogeneous Discrete-Time MAS in the Presence of Nonuniform Communication Delays -- Regulated Output Synchronization of Heterogeneous MAS in the Presence of Nonuniform Communication Delays -- Delayed Regulated Synchronization of Continuous-Time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays -- Delayed Regulated Synchronization of Discrete-time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays.
Contained By:	Springer Nature eBook
標題:	Multiagent systems. -
電子資源:	https://doi.org/10.1007/978-3-031-12954-4
ISBN:	9783031129544

Cooperative control of multi-agent systems = a scale-free protocol design /
Liu, Zhenwei.

Cooperative control of multi-agent systemsa scale-free protocol design /[electronic resource] :by Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi. - Cham :Springer International Publishing :2023. - xiii, 392 p. :ill. (chiefly color), digital ;24 cm. - Studies in systems, decision and control,v. 2482198-4190 ;. - Studies in systems, decision and control ;v. 248..

Introduction -- Notations and Preliminaries -- Synchronization of Continuous-Time MAS -- Synchronization of Discrete-Time MAS -- Regulated State Synchronization of Homogeneous MAS in the Presence of Input Delays -- State Synchronization of Homogeneous Continuous-Time MAS in the Presence of Nonuniform Communication Delays -- State Synchronization of Homogeneous Discrete-Time MAS in the Presence of Nonuniform Communication Delays -- Regulated Output Synchronization of Heterogeneous MAS in the Presence of Nonuniform Communication Delays -- Delayed Regulated Synchronization of Continuous-Time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays -- Delayed Regulated Synchronization of Discrete-time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays.

This monograph represents the outcome of research effort of the authors on scalable synchronization of large-scale multi-agent systems (MAS) Cooperative control of multi-agent systems has been growing in popularity and is highly interdisciplinary in recent years. The application of synchronization of MAS includes automobile systems, aerospace systems, multiple-satellite GPS, high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Most of the proposed protocols in the literature for synchronization of MAS require some knowledge of the communication network such as bounds on the spectrum of the associated Laplacian matrix and the number of agents. These protocols suffer from scale fragility wherein stability properties are lost for large-scale networks or when the communication graph changes. In the past few years, the authors of this monograph have worked on developing scale-free protocol design for various cases of MAS problems. The key contribution of the monograph is to offer a scale-free design framework and provide scale-free protocols to achieve synchronization, delayed synchronization, and almost synchronization in the presence of input and communication delays, input saturation and external disturbances. The scale-free design framework solely is based on the knowledge of agent models and does not depend on information about the communication network such as the spectrum of the associated Laplacian matrix or size of the network. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing actions of the agents. The high technical level of their presentation and their rigorous mathematical approach make this monograph a timely and valuable resource that will fill a gap in the existing literature.

ISBN: 9783031129544

Standard No.: 10.1007/978-3-031-12954-4doiSubjects--Topical Terms:

1048048
Multiagent systems.

LC Class. No.: TJ215.5

Dewey Class. No.: 006.30285436

Cooperative control of multi-agent systems = a scale-free protocol design /
LDR:03963nmm a2200349 a 4500 001 2314927
003 DE-He213
005 20221122175731.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031129544 $q (electronic bk.)
020 $a 9783031129537 $q (paper)
024 7 $a 10.1007/978-3-031-12954-4 $2 doi
035 $a 978-3-031-12954-4
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a TJ215.5
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 006.30285436 $2 23
090 $a TJ215.5 $b .L783 2023
100 1 $a Liu, Zhenwei. $3 2178958
245 1 0 $a Cooperative control of multi-agent systems $h [electronic resource] : $b a scale-free protocol design / $c by Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 392 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 248
505 0 $a Introduction -- Notations and Preliminaries -- Synchronization of Continuous-Time MAS -- Synchronization of Discrete-Time MAS -- Regulated State Synchronization of Homogeneous MAS in the Presence of Input Delays -- State Synchronization of Homogeneous Continuous-Time MAS in the Presence of Nonuniform Communication Delays -- State Synchronization of Homogeneous Discrete-Time MAS in the Presence of Nonuniform Communication Delays -- Regulated Output Synchronization of Heterogeneous MAS in the Presence of Nonuniform Communication Delays -- Delayed Regulated Synchronization of Continuous-Time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays -- Delayed Regulated Synchronization of Discrete-time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays.
520 $a This monograph represents the outcome of research effort of the authors on scalable synchronization of large-scale multi-agent systems (MAS) Cooperative control of multi-agent systems has been growing in popularity and is highly interdisciplinary in recent years. The application of synchronization of MAS includes automobile systems, aerospace systems, multiple-satellite GPS, high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Most of the proposed protocols in the literature for synchronization of MAS require some knowledge of the communication network such as bounds on the spectrum of the associated Laplacian matrix and the number of agents. These protocols suffer from scale fragility wherein stability properties are lost for large-scale networks or when the communication graph changes. In the past few years, the authors of this monograph have worked on developing scale-free protocol design for various cases of MAS problems. The key contribution of the monograph is to offer a scale-free design framework and provide scale-free protocols to achieve synchronization, delayed synchronization, and almost synchronization in the presence of input and communication delays, input saturation and external disturbances. The scale-free design framework solely is based on the knowledge of agent models and does not depend on information about the communication network such as the spectrum of the associated Laplacian matrix or size of the network. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing actions of the agents. The high technical level of their presentation and their rigorous mathematical approach make this monograph a timely and valuable resource that will fill a gap in the existing literature.
650 0 $a Multiagent systems. $3 1048048
650 0 $a Automatic control. $3 535879
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Applied Dynamical Systems. $3 3538870
700 1 $a Nojavanzadeh, Donya. $3 3626833
700 1 $a Saberi, Ali. $3 3593350
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 248. $3 3626834
856 4 0 $u https://doi.org/10.1007/978-3-031-12954-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)