Stability and robustness analysis of a class of adaptive controllers for robotic manipulators
International Journal of Robotics Research
Sliding observers for robot manipulators
Automatica (Journal of IFAC)
Global stabilization by output feedback: examples and counterexamples
Systems & Control Letters
Output-to-state stability and detectability of nonlinear systems
Systems & Control Letters
Control of Robot Manipulators
Automatica (Journal of IFAC)
Robust adaptive neural networks with an online learning technique for robot control
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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This paper addresses the problem of global output feedback, link position tracking control of robot manipulators. Specifically, a robust, Lyapunov-based controller is designed to ensure that the link position tracking error is globally uniformly ultimately bounded despite the fact that only link position measurements are available in the presence of incomplete model information (i.e., parametric uncertainty and additive bounded disturbances).