@inproceedings{a5986207b97d45f3b12b351abf6e863d,
title = "Induced ℓ∞ - Optimal gain-scheduled filtering of Takagi-Sugeno fuzzy systems",
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.",
keywords = "H- optimization, Linear matrix inequalities, Polytopic uncertainties, S-procedure, Takagi-Sugeno fuzzy systems, ℓ-optimization",
author = "Isaac Yaesh and Uri Shaked",
year = "2009",
language = "אנגלית",
isbn = "9789898111999",
series = "ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings",
pages = "67--73",
booktitle = "ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings",
note = "ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics ; Conference date: 02-07-2009 Through 05-07-2009",
}