C. C. Cheah, C. Liu and J. J. E. Soltine, “Adaptive Tracking Control for Robots with Unknown Kinematics and Dynamic Uncertainty,” International Journal of Robotics Research, Vol. 25, No. 3, 2006, pp. 283-296. doi:10.1177/0278364906063830

has been cited by the following article:

• TITLE: An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator

  AUTHORS: Amol A. Khalate, Gopinathan Leena, Goshaidas Ray

  KEYWORDS: Parametric Uncertainty, Lyapunov’s Stability, Adaptive Control, Fuzzy Control, Robotic Manipulator

  JOURNAL NAME: Intelligent Control and Automation, Vol.2 No.4, October 31, 2011

  ABSTRACT: In this paper, an adaptive fuzzy control algorithm is proposed for trajectory tracking of an n-DOF robot manipulator subjected to parametric uncertainty and it is advantageous compared to the conventional nonlinear saturation controller. The asymptotic stability of the proposed controller has been derived based on Lyapunaov energy function. The design procedure is straightforward due to its simple fuzzy rules and control strategies. The simulation results show that the present control strategy effectively reduces the control effort with negligible chattering in control torque signals in comparison to the existing nonlinear saturation controller.