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- W2897811241 abstract "This brief studies the problem of state and fault estimation for Takagi-Sugeno (T-S) fuzzy systems with time delay subject to simultaneously sensor/actuator faults and external disturbances. By extending the sensor faults as an auxiliary state vector, the original system is transformed into an augmented descriptor system. Adaptive Observer is proposed to achieve a simultaneous estimation of descriptor system states, actuator and sensor faults using the constrained H ∞ norm optimization. Based on the Lyapunov functional method and delay-partitioning technique, delay-dependent design conditions of the fuzzy observer are derived in terms of linear matrix inequalities (LMIs). An example is finally presented to validate our findings." @default.
- W2897811241 created "2018-10-26" @default.
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- W2897811241 date "2018-07-01" @default.
- W2897811241 modified "2023-10-16" @default.
- W2897811241 title "Delay-Partitioning Approach to State and Sensor/Actuator Fault Estimation for T-S Fuzzy Systems with Time-Delay" @default.
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- W2897811241 doi "https://doi.org/10.1109/fuzz-ieee.2018.8491571" @default.
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