Reinforcement tuning of type II fuzzy systems
Cleon E. Davis, Pei-Yuan Peng · 1999
A type II fuzzy system is refined by a reinforcement learning scheme in the paper. By tuning the parameters of the type II fuzzy controller, we demonstrate that reinforcement learning can help to achieve good performance. Results from the pole-balancing problem are given with comparisons of different fuzzy control schemes. It is shown that the learned type II fuzzy controller can achieve goals as well as others.