A discrete learning algorithm for robot motion control with both position and velocity sensing

Abstract

With a view to improving the quality of learning and simplifying the iterative learning controller implementation, a new discrete strategy for robot motion control is proposed. A systematic means is devised to merge the position and velocity data in consecutive cycles for effective learning control. The convergence property is also established.<>