Fault estimation based on Kalman filtering for Takagi-Sugeno fuzzy systems

@article{Zhang2017FaultEB,
  title={Fault estimation based on Kalman filtering for Takagi-Sugeno fuzzy systems},
  author={Huaguang Zhang and Shaoxin Sun and Yingchun Wang and Jian Han and Jing Wu},
  journal={2017 Chinese Automation Congress (CAC)},
  year={2017},
  pages={1653-1658}
}
In this paper, fault estimation is proposed, which is based on Kalman filtering for Takagi-Sugeno fuzzy systems with sensor faults, actuator faults, the exogenous disturbances and measurement noise. A differential model and a stochastic state space model are established. Taking into account the various disturbances and noises presented in the operation of the system, the problem that how to weaken the influence of disturbances and noise is researched in this paper, and the fault estimation… CONTINUE READING

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