A Minimax Approach To Robust Repetitive Learning Control

L. Ramrath; T. Singh

doi:10.1109/ICCA.2005.1528152

A Minimax Approach To Robust Repetitive Learning Control

L. Ramrath, T. Singh

Institute of Robotics and Cognitive Systems

State University of New York at Buffalo

16 Citations (Scopus)

Abstract

This paper investigates a robust repetitive control scheme based on a minimax problem formulation. As non-robust repetitive control schemes often lead to decreased suppression or amplification of the disturbing signal if the frequency of the disturbance is not exactly known or slowly varying, robust design approaches have to be used in such cases. Results of the new approach are compared to existing approaches and the trade-off between cancellation peformance and robustness is pointed out.

Original language	English
Title of host publication	2005 International Conference on Control and Automation
Number of pages	6
Publisher	IEEE
Publication date	28.11.2005
Pages	397-402
Article number	TA2-1.1
ISBN (Print)	0-7803-9137-3
DOIs	https://doi.org/10.1109/ICCA.2005.1528152
Publication status	Published - 28.11.2005
Event	5th International Conference on Control and Automation - Budapest, Hungary Duration: 27.06.2005 → 29.06.2005 Conference number: 66038

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1109/ICCA.2005.1528152

Cite this

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abstract = "This paper investigates a robust repetitive control scheme based on a minimax problem formulation. As non-robust repetitive control schemes often lead to decreased suppression or amplification of the disturbing signal if the frequency of the disturbance is not exactly known or slowly varying, robust design approaches have to be used in such cases. Results of the new approach are compared to existing approaches and the trade-off between cancellation peformance and robustness is pointed out.",

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N2 - This paper investigates a robust repetitive control scheme based on a minimax problem formulation. As non-robust repetitive control schemes often lead to decreased suppression or amplification of the disturbing signal if the frequency of the disturbance is not exactly known or slowly varying, robust design approaches have to be used in such cases. Results of the new approach are compared to existing approaches and the trade-off between cancellation peformance and robustness is pointed out.

AB - This paper investigates a robust repetitive control scheme based on a minimax problem formulation. As non-robust repetitive control schemes often lead to decreased suppression or amplification of the disturbing signal if the frequency of the disturbance is not exactly known or slowly varying, robust design approaches have to be used in such cases. Results of the new approach are compared to existing approaches and the trade-off between cancellation peformance and robustness is pointed out.

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U2 - 10.1109/ICCA.2005.1528152

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M3 - Conference contribution

SN - 0-7803-9137-3

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PB - IEEE

T2 - 5th International Conference on Control and Automation

Y2 - 27 June 2005 through 29 June 2005

ER -

A Minimax Approach To Robust Repetitive Learning Control

Abstract

UN SDGs

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