INDUCED ℓ∞ − OPTIMAL GAIN-SCHEDULED FILTERING OF TAKAGI-SUGENO FUZZY SYSTEMS

Isaac Yaesh, Uri Shaked

Abstract

The problem of designing gain-scheduled filters with guaranteed induced ℓ∞ norm for the estimation of the state-vector of finite dimensional discrete-time parameter-dependent Takagi-Sugeno Fuzzy Systems systems is considered. The design process applies a lemma which was recently derived by the authors of this paper, characterizing the induced ℓ∞ norm by Linear Matrix Inequalities. The suggested filter has been successfully applied to a guidance motivated estimation problem, where it has been compared to an Extended Kalman Filter.

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Paper Citation


in Harvard Style

Yaesh I. and Shaked U. (2009). INDUCED ℓ∞ − OPTIMAL GAIN-SCHEDULED FILTERING OF TAKAGI-SUGENO FUZZY SYSTEMS . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-674-001-6, pages 67-73. DOI: 10.5220/0002169500670073


in Bibtex Style

@conference{icinco09,
author={Isaac Yaesh and Uri Shaked},
title={INDUCED ℓ∞ − OPTIMAL GAIN-SCHEDULED FILTERING OF TAKAGI-SUGENO FUZZY SYSTEMS},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2009},
pages={67-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002169500670073},
isbn={978-989-674-001-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - INDUCED ℓ∞ − OPTIMAL GAIN-SCHEDULED FILTERING OF TAKAGI-SUGENO FUZZY SYSTEMS
SN - 978-989-674-001-6
AU - Yaesh I.
AU - Shaked U.
PY - 2009
SP - 67
EP - 73
DO - 10.5220/0002169500670073