Indirect Adaptive Type-2 Fuzzy Impulsive Control of Nonlinear Systems

@article{Li2015IndirectAT,
  title={Indirect Adaptive Type-2 Fuzzy Impulsive Control of Nonlinear Systems},
  author={Yimin Li and Yuanyuan Sun and Jing Hua and Li Li},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2015},
  volume={23},
  pages={1084-1099}
}
In this paper, a novel indirect adaptive interval type-2 fuzzy tracking control is proposed. Strategy with impulsive and Lyapunov synthesis approach, it handles the training data corrupted by noise or rule uncertainties for linear and nonlinear systems involving external disturbances. In comparison with conventional methods, the advocated approach guarantees closed-loop stability. The output tracking error of the overall system will converge to zero asymptotically by the generalized Barbalat's… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 59 references

Simulation of the bird age - structured population growth based on an interval type - 2 fuzzy cellular structure "

  • Oscar Castillo Cecilia Leal Ramírez, Patricia Melin
  • A Review on Interval Type - 2 Fuzzy Logic…
  • 2014

Pedrycz : " Design of interval type - 2 fuzzy models through optimal granularity allocation "

  • P. Melin O. Castillo, W.
  • Appl . Soft Comput .
  • 2013

Similar Papers

Loading similar papers…