An adaptive unidirectional linear response fuzzy controller based on reinforcement learning
Zheng Tang, Masakazu Komori, Okihiko Ishizuka, Koichi Tanno · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 1996
Abstract This paper presents an adaptive fuzzy controller using unidirectional linear response (ULR) elements. The basic functions for a fuzzy controller including membership, minimum and defuzzification functions are realized by the ULR elements. Because the ULR element has diode‐like characteristics, it can be implemented by a diode‐connected mean‐opinion score (MOS) transistor in current‐mode implementations. The hardware implementation of the fuzzy controller using ULR elements should also be very simple and straightforward. The ULR fuzzy controller is applied to an inverted pendulum problem, and the effectiveness of the proposed ULR controller architecture and its learning capability based on reinforcement learning are demonstrated.