Lyapunov-Based Control of Robotic Systems describes nonlinear control design solutions for problems that arise from robots required to interact with and manipulate their environments. Since most practical scenarios require the design of nonlinear controllers to work around uncertainty and measurement-related issues, the authors use Lyapunov's direc
Autorentext
Aman Behal is an assistant professor in the School of Electrical Engineering and Computer Science and the NanoScience Technology Center at the University of Central Florida.
Warren Dixon is an associate professor and director of the Nonlinear Controls and Robotics group in the Department of Mechanical and Aerospace Engineering at the University of Florida.
Darren M. Dawson is McQueen Quattlebaum Professor and chair of the Holcombe Department of Electrical and Computer Engineering at Clemson University.
Bin Xian is a professor in the School of Electrical Engineering and Automation at Tianjin University.
Inhalt
Introduction. Robot Control. Vision-Based Systems. Path Planning and Control. Human Machine Interaction. Appendices. Index.