Adaptive controller design for uncertain nonlinear systems with input magnitude and rate limitations

@article{Yuan2011AdaptiveCD,
  title={Adaptive controller design for uncertain nonlinear systems with input magnitude and rate limitations},
  author={Ruyi Yuan and Jianqiang Yi and Wensheng Yu and Guoliang. Fan},
  journal={Proceedings of the 2011 American Control Conference},
  year={2011},
  pages={3536-3541}
}
An adaptive controller for a class of multiple input-multiple-output (MIMO) uncertain nonlinear systems with extern disturbance and control input limitations is presented in this paper. The controller is designed with a priori consideration of input limitation effects, hence it can generate control signals satisfying input limitations. This controller uses adaptive radial basis function (RBF) neural networks to approximate the unknown nonlinearities. To compensate the effects of input… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 16 references

Nonlinear flight control design using constrained adaptive backstepping

L. Sonneveldt, Q. P. Chu, J. A. Mulder
Journal of Guidance, Control and Dynamics, Vol. 30, No. 2, 2007. • 2007

Backstepping aased flight control with adaptive function approximation

Jay Farrell, Manu Sharma, Marious Polycarpou
Journal of Guidance, Control, and Dynamics, Vol. 28, No. 6, 2005. • 2005

Fuzzy adaptive output feedback control for nonlinear MIMO systems based on observer

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) • 2004

Nonlinear Control Systems: Analysis and Design

IEEE Transactions on Automatic Control • 2004
View 1 Excerpt

Neural networks: a Comperhensive foundation

Simon Haykin
2nd Edition, Prentice-Hall Inc., 1999. • 1999
View 1 Excerpt

Similar Papers

Loading similar papers…