Abstract
The inverted pendulum is a typical multi-variable and non-linear system. It is hard to improve its performance because of modeling difficulty, parametric uncertainties during actual system operation. Iterative Learning Control (ILC) can achieve perfect tracking or performance when there is model uncertainty or when we have a "blind" system. This paper proposed a modified iterative learning control method to improve the dynamics of the car with an inverted pendulum. Experiment results demonstrated that the proposed method can improve the dynamic performance of the car with an inverted pendulum. © 2009 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Gao, H., Lu, Y., Mai, Q., & Hu, Y. (2009). Inverted pendulum system control by using modified iterative learning control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5928 LNAI, pp. 1230–1236). https://doi.org/10.1007/978-3-642-10817-4_123
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
