Zhijun Li, Shuzhi Sam Ge

Fundamentals in Modeling and Control of Mobile Manipulators (eBook, PDF)

• Format: PDF

Produktbeschreibung

Drawing on the authors' research, this book presents theoretical explorations of several fundamental problems for mobile robotic manipulators. By integrating fresh concepts and state-of-the-art results to form a systematic approach for kinematics dynamics, motion generation, feedback control, coordination, and cooperation, the book forms a basic theoretical framework for mobile robotic manipulators that extends the theory of nonlinear control and applies to more realistic problems. The authors propose novel control theory concepts and techniques to tackle important issues faced by researchers and engineers.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 295
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781466580428
• Artikelnr.: 39043022

Autorenporträt

Zhijun Li is a professor in the College of Automation Science and Engineering at the South China University of Technology. Dr. Li is an IEEE Senior Member. He is an editor of the Journal of Intelligent and Robotic Systems. His current research interests include adaptive/robust control, mobile manipulators, and nonholonomic systems.

Shuzhi Sam Ge is a professor in the Department of Electrical and Computer Engineering and director of the Social Robotics Laboratory, Interactive Digital Media Institute, at the National University of Singapore, and director of the Robotics Institute at the University of Electronic Science and Technology of China in Chengdu. He has co-authored five books and published more than 300 international journal and conference papers. He has been an associate editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, and is currently an associate editor for Automatica, as well as an editor for International Journal of Social Robotics, International Journal of Control, Automation & Systems, and the Taylor & Francis Automation and Control Engineering Series. His current research interests include social robotics, adaptive control, hybrid systems, and intelligent systems.