Trajectory tracking for the chaotic pendulum using PI control law

Authors

  • J. Perez
  • J. P
  • F. Rdz
  • A. Flores

Keywords:

Neural networks, trajectory tracking, adaptive control, Lyapunov function stability, PI control

Abstract

This paper presents the application of trajectory tracking using adaptive neural networks to the double chaotic pendulum. The controller structure proposed is composed by a neural identifier and a PI Control Law. Experimental results with the chaotic pendulum showed the usefulness of the proposed approach. To verify the analytical results, an example of a dynamical network is simulated and a theorem is proposed to ensure the tracking of the nonlinear system.

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Published

2013-01-01

How to Cite

[1]
J. Perez, J. P, F. Rdz, and A. Flores, “Trajectory tracking for the chaotic pendulum using PI control law”, Rev. Mex. Fís., vol. 59, no. 5, pp. 471–0, Jan. 2013.

Issue

Vol. 59 No. 5 (2013): Revista Mexicana de Física.

Section

Articles

License

Authors retain copyright and grant the Revista Mexicana de Física right of first publication with the work simultaneously licensed under a CC BY-NC-ND 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.