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- W3124355903 abstract "This paper deals with the state and fault estimation for non linear systems modeled using the Takagi Sugeno approach. An artificial neural network with unknown inputs is used in the objective of estimate state and faults affecting the system. Firstly, the problem of state estimation is considered. In second step, the proposed approach is extended to the actuator fault estimations. The proposed method is applied to an academic example to show its efficiency." @default.
- W3124355903 created "2021-02-01" @default.
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- W3124355903 date "2020-12-20" @default.
- W3124355903 modified "2023-09-23" @default.
- W3124355903 title "State and faults estimation via Artificial Neural Networks" @default.
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- W3124355903 doi "https://doi.org/10.1109/sta50679.2020.9329322" @default.
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