On iterative learning algorithms for the formation control of nonlinear multi-agent systems

@article{Meng2014OnIL,
  title={On iterative learning algorithms for the formation control of nonlinear multi-agent systems},
  author={Deyuan Meng and Yingmin Jia and Junping Du and Jun Zhang},
  journal={Automatica},
  year={2014},
  volume={50},
  pages={291-295}
}
This paper deals with formation control problems for multi-agent systems with nonlinear dynamics and switching network topologies. Using the nearest neighbor knowledge, a distributed algorithm is constructed by employing the iterative learning control approach. Sufficient conditions are given to obtain the desired relative formations of agents, which benefits from the strict positiveness of products of stochastic matrices. It is shown that the derived results can effectively work, although the… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 29 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Stereo vision-based formation control of mobile robots using iterative learning

  • X. Chen, Y. Jia
  • In Proceedings of the international conference on…
  • 2010

Trajectory-keeping in satellite formation flying via robust periodic learning control

  • Ahn, H.-S, K. L. Moore, Y. Chen
  • International Journal of Robust and Nonlinear…
  • 2010

Similar Papers

Loading similar papers…