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Distributed localization and formation control of multi-agent systems with local sensing information

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributed localization and formation control of multi-agent systems with local sensing informationby Yunkai Lv ... [et al.].
其他作者:	Lv, Yunkai.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xvii, 195 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Multiagent systems.
電子資源:	https://doi.org/10.1007/978-981-96-6015-5
ISBN:	9789819660155$q(electronic bk.)

Distributed localization and formation control of multi-agent systems with local sensing information
Distributed localization and formation control of multi-agent systems with local sensing information[electronic resource] /by Yunkai Lv ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvii, 195 p. :ill. (chiefly color), digital ;24 cm.

Introduction -- Distributed localisation for MASs under barycentric coordinate representation -- Distributed localization of MASs with imperfect channel -- Distributed localization of MASs with random noise -- Distributed localization of MASs with randomly varying trajectory lengths -- Data-driven adaptive distributed localization of MASs with sensor failure -- Distributed sensor network localization based on local bearing measurement -- Local-bearing-based prescribed-time localization of MASs with noisy measurement -- Integration of distributed localization and formation of MAS.

This book mainly focuses on the key technologies and important issues related to localization estimation and formation control for networked multi-agent systems. Chapter 1 introduces the concepts of multi-agent systems, fundamental issues in localization and formation, research progress both at home and abroad, and the theory of system stability. Chapters 2-8 present research results on distributed localization estimation under conditions such as random deployment, non-ideal channels, random noise, varying-trajectory length, sensor multiplicative failure, and local bearing measurement. Chapter 9 focuses on integrated research progress in localization estimation and formation control for multi-agent systems under local perception conditions. The book demonstrates the effectiveness and superiority of the theoretical methods through simulation and physical examples.

ISBN: 9789819660155$q(electronic bk.)

Standard No.: 10.1007/978-981-96-6015-5doiSubjects--Topical Terms:

484868
Multiagent systems.

LC Class. No.: TJ215.5

Dewey Class. No.: 006.30285436

Distributed localization and formation control of multi-agent systems with local sensing information
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505 0 $a Introduction -- Distributed localisation for MASs under barycentric coordinate representation -- Distributed localization of MASs with imperfect channel -- Distributed localization of MASs with random noise -- Distributed localization of MASs with randomly varying trajectory lengths -- Data-driven adaptive distributed localization of MASs with sensor failure -- Distributed sensor network localization based on local bearing measurement -- Local-bearing-based prescribed-time localization of MASs with noisy measurement -- Integration of distributed localization and formation of MAS.
520 $a This book mainly focuses on the key technologies and important issues related to localization estimation and formation control for networked multi-agent systems. Chapter 1 introduces the concepts of multi-agent systems, fundamental issues in localization and formation, research progress both at home and abroad, and the theory of system stability. Chapters 2-8 present research results on distributed localization estimation under conditions such as random deployment, non-ideal channels, random noise, varying-trajectory length, sensor multiplicative failure, and local bearing measurement. Chapter 9 focuses on integrated research progress in localization estimation and formation control for multi-agent systems under local perception conditions. The book demonstrates the effectiveness and superiority of the theoretical methods through simulation and physical examples.
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650 0 $a Formation control (Machine theory) $3 866720
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