PD Control Law for Trajectory Tracking of Chaotic Pendulum

Abstract:

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

• Periodical: Advanced Materials Research (Volume 646)
• Pages: 208-215
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.646.208
• Online since: January 2013
• Authors: Joel P. Perez, Jose P. Perez, Francisco Rdz, Angel H. Flores
• Keywords: Adaptive Control, Lyapunov Function Stability, Neural Network (NN), PD Control, Trajectory Tracking

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