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A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes

Yin, Y, Shi, Peng ORCID: 0000-0003-2668-7616, Liu, F and Teo, KL (2015) A novel approach to fault detection for fuzzy stochastic systems with nonhomogeneous processes. Information Sciences, 292. 198 - 213. ISSN 0020-0255

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Item Type: Article
Uncontrolled Keywords: manufacturing systems; complex nonlinear system; Takagi–Sugeno fuzzy model; Markov jump systems; MJS
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 16 Aug 2016 00:11
Last Modified: 16 Aug 2016 00:11
URI: http://vuir.vu.edu.au/id/eprint/31257
DOI: https://doi.org/10.1016/j.ins.2014.08.055
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Citations in Scopus: 6 - View on Scopus

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