Estimation of inertial parameters of manipulator loads and links
International Journal of Robotics Research
Model-based control of a robot manipulator
Model-based control of a robot manipulator
Adaptive friction compensation in robot manipulators: low velocities
International Journal of Robotics Research
Robot Dynamics and Control
Robotic Tasks Using Path Control: Two Case Studies
Journal of Intelligent and Robotic Systems
PD Controller for Manipulator with Kinetic Energy Term
Journal of Intelligent and Robotic Systems
An estimate of the domain of attraction for the PID regulator of manipulators
International Journal of Robotics and Automation
An exponential family of hyperbolic-type controllers
WSEAS Transactions on Circuits and Systems
A Dynamic-compensation Approach to Impedance Control of Robot Manipulators
Journal of Intelligent and Robotic Systems
Manipulator motion control in operational space using joint velocity inner loops
Automatica (Journal of IFAC)
Brief Semiglobal stability of saturated linear PID control for robot manipulators
Automatica (Journal of IFAC)
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This paper describes the experimental evaluation of three identification schemes to determine the dynamic parameters of a two degrees of freedom direct-drive robot. These schemes involve a recursive estimator while the regression models are formulated in continuous time. The fact that the total energy of robot manipulators can be represented as a linear relation in the inertial parameters, has motivated the suggestion in the literature of several regression models which are linear in a common dynamic parameter vector. Among them, in this paper we consider the schemes based on the filtered dynamic regression model, the supplied energy regression model and a new one proposed in this paper: the filtered power regression model. The underling recursive parameter estimator used in the experimental evaluation is the standard least-squares.