Abstract

PEREZ, J.; PEREZ, J. P.; RDZ, F.  and  FLORES, A.. Trajectory tracking for the chaotic pendulum using PI control law. Rev. mex. fis. [online]. 2013, vol.59, n.5, pp.471-477. ISSN 0035-001X.

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.

Keywords : Neural networks; trajectory tracking; adaptive control; Lyapunov function stability and PI control.

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