@article{10d0a58a12c749778811aa8416f13e4b,
title = "Iterative learning fault diagnosis and fault tolerant control for stochastic repetitive systems with Brownian motion",
abstract = "In this paper, the issue of iterative learning fault diagnosis (ILFD) and fault tolerant control (FTC) is studied for stochastic repetitive systems with Brownian motion. Different from existing fault diagnosis (FD) methods, a state/fault simultaneous estimation observer based on iterative learning method is designed. The convergence condition of the ILFD algorithm is given. By employing the fault estimation information, the FTC algorithm is proposed to compensate for the fault effect on the system and to keep the stochastic input-to-state stability of the control system. Finally, the simulation results of an induction motor system and a single-link robotic flexible manipulator system are given to show that the proposed method is validated.",
keywords = "Brownian motion, Fault tolerant control, Iterative learning fault diagnosis, Stochastic repetitive systems",
author = "Lifan Li and Lina Yao and Hong Wang and Zhiwei Gao",
note = "Funding Information: This work was supported by the NSFC, China grants (No. 61973278, 61374128) and Basic Research Projects of Key Scientific Research Projects of Colleges and Universities in Henan, China21zx007. Funding Information: This work was supported by the NSFC, China grants (No. 61973278 , 61374128 ) and Basic Research Projects of Key Scientific Research Projects of Colleges and Universities in Henan, China 21zx007 . Publisher Copyright: {\textcopyright} 2021",
year = "2022",
month = feb,
day = "1",
doi = "10.1016/j.isatra.2021.03.030",
language = "English",
volume = "121",
pages = "171--179",
journal = "ISA Transactions",
issn = "0019-0578",
publisher = "ISA - Instrumentation, Systems, and Automation Society",
}