Iterative learning control design based on feedback linearization and nonlinear repetitive process stability theory

@article{Pakshin2016IterativeLC,
  title={Iterative learning control design based on feedback linearization and nonlinear repetitive process stability theory},
  author={Pavel V. Pakshin and Julia P. Emelianova and Mikhail A. Emelianov and Krzysztof Galkowski and Eric Rogers},
  journal={2016 IEEE 55th Conference on Decision and Control (CDC)},
  year={2016},
  pages={5478-5483}
}
Iterative learning control laws can be applied to systems that execute the same finite duration task over and over again. Previous research for linear dynamics has used the stability theory of linear repetitive processes to design control laws that have been experimentally verified. This paper applies recently developed stability theory for nonlinear repetitive processes to differential dynamics that can be feedback linearized. The design in then completed by applying the stability theory for… CONTINUE READING