Learning fuzzy control laws for the inverted pendulum

摘要

In this paper we will examine the problem of learning an efficient fuzzy logic rule set for the control of the inverted pendulum (with nonlinear dynamics) using an evolutionary algorithm. In particular we compare a two layered rule set with a single fuzzy logic rule set. Furthermore we look at the effect that different choices of objective function (in the evolutionary algorithm) have on the rule sets that are learnt.