Work

An adaptive iterative learning control algorithm with experiments on an industrial robot

Year: 2002

Type: article

Abstract: An adaptive iterative learning control (ILC) algorithm based on an estimation procedure using a Kalman filter and an optimization of a quadratic criterion is presented. It is shown that by taking the measurement disturbance into consideration the resulting ILC filters become iteration-varying. Results from experiments on an industrial robot show that the algorithm is successful also in an application.

Source: IEEE Transactions on Robotics and Automation

DOI: 10.1109/tra.2002.999653

Author: M. Norrlof

Institution: Linköping University

Language: English

Topic: Iterative Learning Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2103787878

FWCI: 11.53

Cites: 25

Cited by: 264

Related to: 10