@inproceedings{cab032bc6df14a08b34302d1f5d0adaf,
title = "Fault Reconstruction and State Estimation for Large-Scale T-S Fuzzy System",
abstract = "This paper proposes a new approach to designing the observer for the nonlinear Large-scale system. The nonlinear large-scale system is modeled under the T-S fuzzy system framework that allows us to apply powerful linear methodologies to synthesize the observer. The interconnection terms of considered large-scale T-S fuzzy systems are unknown and do not need to satisfy any constraint. In addition, both the system and sensor of the large-scale T-S fuzzy system are impacted by the fault. A decentralized fuzzy observer is designed to estimate the unknown states as well as reconstruct the fault, simultaneously. With the support of the augment technique, Lyapunov methodology, and Linear Matrix Inequality (LMIs) technique, the conditions for observer design are derived in the main theorems. Finally, a numerical example is provided to show the effectiveness and merit of the proposed method.",
keywords = "Fault estimation, LMIs, Large-scale T-S fuzzy system, Observer design",
author = "Vu, {Van Phong} and Wang, {Wen June} and Ngo, {Van Thuyen} and Ngo, {Dinh Thanh} and Pham, {Huu Thai}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th International Conference on Green Technology and Sustainable Development, GTSD 2022 ; Conference date: 29-07-2022 Through 30-07-2022",
year = "2023",
doi = "10.1007/978-3-031-19694-2_49",
language = "???core.languages.en_GB???",
isbn = "9783031196935",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "556--568",
editor = "Yo-Ping Huang and Wen-June Wang and Quoc, {Hoang An} and Hieu-Giang Le and Hoai-Nam Quach",
booktitle = "Computational Intelligence Methods for Green Technology and Sustainable Development - Proceedings of the International Conference GTSD2022",
}