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Stabilization, Tracking and Formation Control of Autonomous Marine Vessels -  Zhenyu Gao,  Ge Guo,  Pengfei Zhang

Stabilization, Tracking and Formation Control of Autonomous Marine Vessels (eBook)

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2021 | 1st ed. 2022
XIV, 238 Seiten
Springer Singapore (Verlag)
978-981-16-8109-7 (ISBN)
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This book focuses on autonomous marine vessel systems and control approaches. In particular, it mainly contains modeling, analysis and control design methodologies for covert stabilization control, trajectory tracking control, and cooperative formation control of AMVs. The comprehensive and systematic treatment of practical issues in autonomous marine vessel systems is one of the book's significant features, particularly suited for readers interested in learning control problems in AMV and other related topic areas like mobile robots and vehicles. The book can benefit researchers, engineers, and graduate students in mathematical skills, methodologies, and algorithms needed in the analysis and control design for tracking and stabilization, cooperative control of surface vessels and underwater vehicles. Through the book, readers can have a deeper understanding of such fields.



Ge Guo received the B.S. and Ph.D. degrees from Northeastern University, Shenyang, China, in 1994 and 1998, respectively. He is currently a professor with Northeastern University. He has published over 100 journal papers within his areas of interest, which include intelligent transportation systems and cyber-physical systems. Dr. Guo is the managing editor of the International Journal of Systems, Control and Communications and an associate editor of several other journals like IEEE Transactions on Intelligent Transportation Systems, Information Sciences, the ACTA Automatica Sinica, and the IEEE Intelligent Transportation Systems Magazine. His research interests include intelligent transportation systems and cyber-physical systems

Zhenyu Gao received the B.S. degree from Shandong University of Technology, Zibo, China, in 2013, and the Ph.D. degree from Dalian Maritime University, Dalian, China, in 2019. He is currently a lecturer with the School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China. His current research interests include optimal control, formation control of autonomous vessels, and intelligent transportation systems.

Pengfei Zhang received the B.S. and Ph.D. degrees from Dalian Maritime University, in 2012 and 2020, respectively. He is currently a lecturer with Huzhou University, Huzhou, China. His current research interests include stabilization/tracking control of under-actuated surface/underwater vessels, nonlinear systems, and disturbance observers. 



This book focuses on autonomous marine vessel systems and control approaches. In particular, it mainly contains modeling, analysis and control design methodologies for covert stabilization control, trajectory tracking control, and cooperative formation control of AMVs. The comprehensive and systematic treatment of practical issues in autonomous marine vessel systems is one of the book's significant features, particularly suited for readers interested in learning control problems in AMV and other related topic areas like mobile robots and vehicles. The book can benefit researchers, engineers, and graduate students in mathematical skills, methodologies, and algorithms needed in the analysis and control design for tracking and stabilization, cooperative control of surface vessels and underwater vehicles. Through the book, readers can have a deeper understanding of such fields.
Erscheint lt. Verlag 15.12.2021
Zusatzinfo XIV, 238 p. 97 illus., 87 illus. in color.
Sprache englisch
Themenwelt Naturwissenschaften Geowissenschaften Hydrologie / Ozeanografie
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Autonomous Marine Vessel • Cooperative Control • Disturbance Observer • Fixed Time Stability • Formation Control • Stabilization Control • Tracking Control • velocity observer
ISBN-10 981-16-8109-0 / 9811681090
ISBN-13 978-981-16-8109-7 / 9789811681097
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