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Experimental comparison of some classical iterative learning control algorithms

Year: 2002

Type: article

Abstract: This paper gives an overview of classical iterative learning control algorithms. The presented algorithms are also evaluated on a commercial industrial robot from ABB. The paper covers implicit to explicit model-based algorithms. The result from the evaluation of the algorithms is that performance can be achieved by having more system knowledge.

Source: IEEE Transactions on Robotics and Automation

DOI: 10.1109/tra.2002.802210

Authors: M. Norrlof, S. Gunnarsson

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: W2138901013

FWCI: 7.591

Cites: 36

Cited by: 97

Related to: 10