Benchmark Models of Control System Design for Remotely Operated Vehicles

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Éditeur :

Springer

Paru le : 2020-08-07

This book is intended to meet the needs of those who seek to develop control systems for ROVs when there is no model available during the initial design stage. The modeling, simulation and application of marine vehicles like underwater robotic vehicles (URVs) are multidisciplinary, and com...
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Éditeur

Collection
n.c

Parution
2020-08-07

Pages
140 pages

EAN papier
9789811565106

Dr. Cheng Siong Chin is an Associate Professor at Newcastle University at Singapore where he has established research projects with vast industry partners from Seagate, ST-Electronics, Soil Machine Dynamics (SMD), SembCorp Marine, POSH, Visenti (Xylem), Temasek Polytechnic and Singapore Maritime Institute (SMI). He is also a Visiting Professor at Chongqing University. He has also supervised projects on the intelligent systems design and simulation of complex systems in uncertain environment. He has published over 100 journal papers, books, book chapters and conference papers. He is a Fellow of the Higher Education Academy, Fellow of IMarEST, senior member of IEEE and the IET, and a Chartered Engineer. He received the Best Paper Award for the Virtual Reality of Autonomous Vehicle in The 2018 10th International Conference on Modelling, Identification and Control sponsored by IEEE. Dr. Michael Wai Shing Lau is an Associate Professor and a Degree Programme Director for Mechanical Design and Manufacturing Engineering at Newcastle University at Singapore. He has been involved in tertiary education in Singapore for more than 20 years. He has published more than 100 journal papers,  book chapters and conference papers.  His research activities include motion control, active vibration control, and design and control of mobile robotics including underwater vehicles.

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EAN PDF
9789811565113
Prix
147,69 €
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
9748 Ko
EAN EPUB
9789811565113
Prix
147,69 €
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
34693 Ko

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