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

Full text for this resource is not available from the Research Repository.

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

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/31257
DOI https://doi.org/10.1016/j.ins.2014.08.055
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords manufacturing systems; complex nonlinear system; Takagi–Sugeno fuzzy model; Markov jump systems; MJS
Citations in Scopus 12 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login