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• W1134600101 abstract "This paper addresses the problem of observer-based fault reconstruction for Takagi–Sugeno fuzzy systems. Two types of fuzzy learning observers are constructed to achieve simultaneous reconstruction of system states and actuator faults. Stability and convergence of the proposed observers are proved using Lyapunov stability theory, and necessary conditions for the existence of the observers are further discussed. The design of fuzzy learning observers can be formulated in terms of a series of linear matrix inequalities that can be conveniently solved using convex optimisation technique. A single-link flexible manipulator is employed to verify the effectiveness of the proposed fault-reconstructing approaches." @default.
• W1134600101 created "2016-06-24" @default.
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• W1134600101 date "2015-10-04" @default.
• W1134600101 modified "2023-10-10" @default.
• W1134600101 title "Fault reconstruction for Takagi–Sugeno fuzzy systems via learning observers" @default.
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• W1134600101 doi "https://doi.org/10.1080/00207179.2015.1086025" @default.
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