Cooperative Coverage Control of Multi-Agent Systems and its Applications (eBook)
XVI, 139 Seiten
Springer Singapore (Verlag)
978-981-16-7625-3 (ISBN)
This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.
Chao Zhai received the Bachelor's degree in automation engineering from Henan University in 2007 and earned the Master's degree in control theory and control engineering from Huazhong University of Science and Technology in 2009. He received the Ph.D. degree in complex system and control from the Institute of Systems Science, Chinese Academy of Sciences, Beijing, China, in June 2013. From July 2013 to August 2015, he was Post-Doctoral Fellow with the University of Bristol, Bristol, UK. Currently, He is Professor at the School of Automation, China University of Geosciences, Wuhan, China. His research interests include cooperative control of multi-agent systems, power system resilience and social motor coordination.
Hai-Tao Zhang received the B.E. and Ph.D. degrees from the University of Science and Technology of China, Hefei, China, in 2000 and 2005, respectively. During January to December 2007, he was Postdoctoral Researcher with the University of Cambridge, Cambridge, UK. Currently, he is Full Professor with Huazhong University of Science and Technology, Wuhan, China. His research interests include swarming intelligence, model predictive control, and unmanned system cooperation control. He is a Cheung Kong Young Scholar. He is/was an associate editor of IEEE Transactions on Systems, Man and Cybernetics-Systems, IEEE Transactions on Circuits and Systems II and Asian Journal of Control.
Gaoxi Xiao received his Ph.D. degree in computing from the Hong Kong Polytechnic University. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2001, where he is now Associate Professor. His main research interests include complex systems and complex networks, communication networks, smart grids, and system resilience and risk management. He serves/served as Associate Editor or Guest Editor for IEEE Transactions on Network Science and Engineering, PLOS ONE and Advances in Complex Systems, etc.
This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.
| Erscheint lt. Verlag | 7.12.2021 |
|---|---|
| Reihe/Serie | Studies in Systems, Decision and Control | Studies in Systems, Decision and Control |
| Zusatzinfo | XVI, 139 p. 35 illus., 34 illus. in color. |
| Sprache | englisch |
| Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Cooperative routing algorithm • Discrete Time Multi-Agent Systems • Distributed control scheme • Environment Monitoring • Online learning strategies • Supersonic flight vehicles • Sweep coverage algorithm • Unmanned Ground Vehicles • wireless sensor networks • Workload memory |
| ISBN-10 | 981-16-7625-9 / 9811676259 |
| ISBN-13 | 978-981-16-7625-3 / 9789811676253 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 3,5 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
