International Journal of Control, Automation and Systems 2006; 4(2): 197-203
© The International Journal of Control, Automation, and Systems
This paper addresses dynamic modeling and task-space trajectory following issues for nonholonomic mobile manipulators moving on a slope. An integrated dynamic modeling method is proposed considering nonholonomic constraints and interactive motions. An adaptive neural-fuzzy controller is presented for end-effector trajectory following, which does not rely on precise apriori knowledge of dynamic parameters and can suppress bounded external disturbances. Effectiveness of the proposed algorithm is verified through simulations.
Keywords Adaptive control, mobile manipulator, neural-fuzzy control, nonholonomic.
International Journal of Control, Automation and Systems 2006; 4(2): 197-203
Published online April 1, 2006
Copyright © The International Journal of Control, Automation, and Systems.
Yugang Liu and Yangmin Li*
University of Macau, China
This paper addresses dynamic modeling and task-space trajectory following issues for nonholonomic mobile manipulators moving on a slope. An integrated dynamic modeling method is proposed considering nonholonomic constraints and interactive motions. An adaptive neural-fuzzy controller is presented for end-effector trajectory following, which does not rely on precise apriori knowledge of dynamic parameters and can suppress bounded external disturbances. Effectiveness of the proposed algorithm is verified through simulations.
Keywords: Adaptive control, mobile manipulator, neural-fuzzy control, nonholonomic.
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