State and Fault Estimation for T–S Fuzzy Nonlinear Systems Using an Ensemble UKF
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-021-01897-1.pdf
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3. G.H. Bazan, A. Goedtel, M.F. Castoldi, W.F. Godoy, O. Duque-Perez, D. Morinigo-Sotelo, Mutual information and meta-heuristic classifiers applied to bearing fault diagnosis in three-phase induction motors. Appl. Sci. 11(1), 314 (2021). https://doi.org/10.3390/app11010314
4. A. Ben Brahim, S. Dhahri, F. Ben Hmida, A. Sellami, Adaptive sliding mode fault tolerant control design for uncertain nonlinear systems with multiplicative faults: Takagi–Sugeno fuzzy approach. Proc. Inst. Mech. Eng. I. 234, 147 (2020)
5. F. Ben Hmida, K. Khémiri, J. Ragot, M. Gossa, Three-stage Kalman filter for state and fault estimation of linear stochastic systems with unknown inputs. J Frankl Inst (2012). https://doi.org/10.1016/j.jfranklin.2012.05.004
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