Robust adaptive sliding mode control of MEMS gyroscope using T–S fuzzy model

@article{Wang2014RobustAS,
  title={Robust adaptive sliding mode control of MEMS gyroscope using T–S fuzzy model},
  author={Shitao Wang and Juntao Fei},
  journal={Nonlinear Dynamics},
  year={2014},
  volume={77},
  pages={361-371}
}
In this paper, a multi-input multi-output Takagi–Sugeno (T–S) fuzzy model is proposed to represent the nonlinear model of micro-electro mechanical systems (MEMS) gyroscope and improve the tracking and compensation performance. A robust adaptive sliding mode control with on-line identification for the upper bounds of external disturbances and an adaptive estimator for the model uncertainty parameters are proposed in the Lyapunov framework. The adaptive algorithm of model uncertainty parameters… CONTINUE READING

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