The purpose of this chapter is to introduce a novel adaptive neural network-based control scheme for the Furuta pendulum. Adaptation laws for the input and output weights are provided. The proposed controller is able to guarantee tracking of a reference signal for the arm while the pendulum remains in the upright position. Using real-time experiments, the new scheme is compared with other control methodologies, therein demonstrating the improved performance of the proposed adaptive algorithm.
CITATION STYLE
Moreno-Valenzuela, J., & Aguilar-Avelar, C. (2018). Adaptive neural network control of the Furuta pendulum. In Intelligent Systems, Control and Automation: Science and Engineering (Vol. 88, pp. 93–118). Springer Netherlands. https://doi.org/10.1007/978-3-319-58319-8_6
Mendeley helps you to discover research relevant for your work.