Adaptive iterative learning control of uncertain robotic systems

By J. Choi, J. Lee. 2000

189 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Iterative Learning Control: Brief Survey and Categorization (2007, methodology): “For example, in [391], an adaptive learning (A-L) control scheme was developed for robot manipulator tracking; in [272], Miyasato proposed a hybrid adaptive control scheme (enhanced by ILC), and in [94], Choi and Lee provided a hybrid adaptive learning control scheme using both feedback control and ”
Convergence Properties of Iterative Learning Control Processes in the Sense of the Lebesgue‐P Norm (2012, background): “Up to now, only a few investigations have discussed the tracking behavior by the Lebesgue-p norm for adaptive ILC schemes or non-repetitive ILC profiles [14, 15].”
Adaptive iterative learning control for nonlinearly parameterized systems with unknown time-varying delays (2010, methodology): “In the second category, only the unknown control parameters are tuned between successive iterations, and Lyapunov function [ 9 ]-[10] or composite energy function (CEF) [14]-[20] is usually constructed to analyze the stability of closed-loop systems.”
Adaptive iterative learning control for robot manipulators : Experimental results (2006, background): “In the same spirit, Choi and Lee (2000) proposed an adaptive ILC for uncertain robot manipulators, where the uncertain parameters are estimated along the time horizon whereas the repetitive disturbances are compensated along the iteration horizon.”