Intelligent fuzzy controller with a sequential learning mechanism

This paper presents a linguistic learning-based fuzzy controller of which learning is accomplished in a sequential manner via an embedded learning mechanism. Tile systems handled here are characterized by a set of linguistic rules from human operator used to describe the underlying system model vaguely. The proposed control algorithm incarnates the design procedure adopted by human being through linguistic formulation of the controlled system and learning action during actual execution. Simulations on control of an inverted pendulum are conducted and results verify that tile appealing performance of the proposed control architecture.