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Authors: Andrzej Krolikowski and Dariusz Horla

Affiliation: Poznan University of Technology, Institute of Control and Information Engineering, Poland

Keyword(s): Discrete-time systems, IMC structure, Adaptive repetitive control.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Repetitive control is known as one of the most effective methods to reduce repetitive errors with a known period in various practical control systems performing repetitive tasks. The application of Internal Model Control (IMC) structure for repetitive control is introduced. Two IMC-based repetitive control configurations are proposed together with their adaptive versions. A comparative simulation study is carried out for the model of a first link of the robot.

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Paper citation in several formats:
Krolikowski, A. and Horla, D. (2008). DISCRETE-TIME ADAPTIVE REPETITIVE CONTROL - Internal Model Approach. In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO; ISBN 978-989-8111-32-6; ISSN 2184-2809, SciTePress, pages 90-95. DOI: 10.5220/0001479700900095

@conference{icinco08,
author={Andrzej Krolikowski. and Dariusz Horla.},
title={DISCRETE-TIME ADAPTIVE REPETITIVE CONTROL - Internal Model Approach},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO},
year={2008},
pages={90-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001479700900095},
isbn={978-989-8111-32-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO
TI - DISCRETE-TIME ADAPTIVE REPETITIVE CONTROL - Internal Model Approach
SN - 978-989-8111-32-6
IS - 2184-2809
AU - Krolikowski, A.
AU - Horla, D.
PY - 2008
SP - 90
EP - 95
DO - 10.5220/0001479700900095
PB - SciTePress