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

FindBook

Google Book

Amazon

博客來

Distributed impulsive coordination of multi-agent systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributed impulsive coordination of multi-agent systems/ by Zhengle Zhang, Tiedong Ma, Bing Cui.
作者:	Zhang, Zhengle.
其他作者:	Ma, Tiedong.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xv, 185 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Introduction -- 2. Distributed Variable Impulsive Consensus of Multi-Agent Systems -- 3. Distributed Asynchronous Impulsive Consensus of Multi-Agent Systems -- 4. Distributed Impulsive Consensus of Delayed Multi-Agent Systems -- 5. Distributed Discontinuous Adaptive Impulsive Consensus of Uncertain Multi-agent Systems.
Contained By:	Springer Nature eBook
標題:	Multiagent systems - Control. -
電子資源:	https://doi.org/10.1007/978-981-97-6262-0
ISBN:	9789819762620

Distributed impulsive coordination of multi-agent systems
Zhang, Zhengle.

Distributed impulsive coordination of multi-agent systems[electronic resource] /by Zhengle Zhang, Tiedong Ma, Bing Cui. - Singapore :Springer Nature Singapore :2024. - xv, 185 p. :ill. (some col.), digital ;24 cm. - Intelligent control and learning systems,v. 152662-5466 ;. - Intelligent control and learning systems ;v. 15..

1. Introduction -- 2. Distributed Variable Impulsive Consensus of Multi-Agent Systems -- 3. Distributed Asynchronous Impulsive Consensus of Multi-Agent Systems -- 4. Distributed Impulsive Consensus of Delayed Multi-Agent Systems -- 5. Distributed Discontinuous Adaptive Impulsive Consensus of Uncertain Multi-agent Systems.

This book investigates the distributed impulsive coordination control of multi-agent systems (MASs), including consensus problem and formation problem. Compared with continuous control, impulsive control as a discontinuous control method only needs information interaction at impulsive instants, which can greatly reduce the transmission cost in the communication process. In practice, MASs are often affected by environmental and hardware conditions, resulting in the application of impulsive control is limited. For example, it is difficult to exert the impulsive control signal accurately at a fixed instant, and it is difficult to control all agents at the same impulsive instant. Moreover, the actual models of MASs often contain some constraints such as unknown parameters, stochastic perturbation, and time delays. In addition, stochastic switching topologies and cyberattacks will limit the communication between agents in MASs, which will greatly affect the coordination control performance. Based on the existing research results, this book considers the above constraints of MASs in practice and studies the key problems of distributed impulsive coordination control for MASs. The book is intended for undergraduate and graduate students who are interested in control system theory, as well as engineers studying MASs.

ISBN: 9789819762620

Standard No.: 10.1007/978-981-97-6262-0doiSubjects--Topical Terms:

3319578
Multiagent systems
--Control.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.30285436

Distributed impulsive coordination of multi-agent systems
LDR:02796nmm a2200349 a 4500 001 2381002
003 DE-He213
005 20241116115608.0
006 m d
007 cr nn 008maaau
008 250418s2024 si s 0 eng d
020 $a 9789819762620 $q (electronic bk.)
020 $a 9789819762613 $q (paper)
024 7 $a 10.1007/978-981-97-6262-0 $2 doi
035 $a 978-981-97-6262-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 006.30285436 $2 23
090 $a QA76.76.I58 $b Z63 2024
100 1 $a Zhang, Zhengle. $3 3734830
245 1 0 $a Distributed impulsive coordination of multi-agent systems $h [electronic resource] / $c by Zhengle Zhang, Tiedong Ma, Bing Cui.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xv, 185 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent control and learning systems, $x 2662-5466 ; $v v. 15
505 0 $a 1. Introduction -- 2. Distributed Variable Impulsive Consensus of Multi-Agent Systems -- 3. Distributed Asynchronous Impulsive Consensus of Multi-Agent Systems -- 4. Distributed Impulsive Consensus of Delayed Multi-Agent Systems -- 5. Distributed Discontinuous Adaptive Impulsive Consensus of Uncertain Multi-agent Systems.
520 $a This book investigates the distributed impulsive coordination control of multi-agent systems (MASs), including consensus problem and formation problem. Compared with continuous control, impulsive control as a discontinuous control method only needs information interaction at impulsive instants, which can greatly reduce the transmission cost in the communication process. In practice, MASs are often affected by environmental and hardware conditions, resulting in the application of impulsive control is limited. For example, it is difficult to exert the impulsive control signal accurately at a fixed instant, and it is difficult to control all agents at the same impulsive instant. Moreover, the actual models of MASs often contain some constraints such as unknown parameters, stochastic perturbation, and time delays. In addition, stochastic switching topologies and cyberattacks will limit the communication between agents in MASs, which will greatly affect the coordination control performance. Based on the existing research results, this book considers the above constraints of MASs in practice and studies the key problems of distributed impulsive coordination control for MASs. The book is intended for undergraduate and graduate students who are interested in control system theory, as well as engineers studying MASs.
650 0 $a Multiagent systems $x Control. $3 3319578
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Automation. $3 633305
700 1 $a Ma, Tiedong. $3 3734831
700 1 $a Cui, Bing. $3 3734832
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Intelligent control and learning systems ; $v v. 15. $3 3734833
856 4 0 $u https://doi.org/10.1007/978-981-97-6262-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)