@inproceedings{c97ab20162eb4882b76b5250d24f5380,
title = "H−/H∞ fault detection observer design for discrete-time polytopic LPV system based on relative degree of output",
abstract = "This paper proposes an H−/H∞ fault detection observer for discrete-time polytopic linear parameter-varying (LPV) system based on relative degree of output. First, a new output is generated by gathering the original output and its time shifted value. Then an H−/H∞ fault detection observer is designed for the new system such that the generated residual is robust against unknown disturbances and sensitive to actuator faults, simultaneously. In order to reduce some conservative-ness, the observer is solved by an iterative LMIs algorithm. Simulations results are given to illustrate the effectiveness of the proposed method.",
keywords = "Discrete-time polytopic LPV system, Fault detection, H/H fault detection observer, Iterative linear matrix inequality approach",
author = "Meng Zhou and Mickael Rodrigues and Yi Shen and Didier Theilliol",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 13th International Conference on Diagnostics of Processes and Systems, DPS 2017 ; Conference date: 10-09-2017 Through 13-09-2017",
year = "2018",
doi = "10.1007/978-3-319-64474-5\_10",
language = "英语",
isbn = "9783319644738",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "119--130",
editor = "Koscielny, \{Jan M.\} and Michal Syfert and Anna Sztyber",
booktitle = "Advanced Solutions in Diagnostics and Fault Tolerant Control",
address = "德国",
}