Gain-Scheduling Fault Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems: A Depth Partitioning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3135911
Abstract: The problem of robust nonlinear fault estimation for discrete-time Takagi-Sugeno fuzzy systems is investigated by proposing a depth partitioning approach. Compared with those existing results, the working space spanned by the updated normalized fuzzy weighting… read more here.
Keywords: fault estimation; depth partitioning; partitioning approach; fault ... See more keywords