Design and stability analysis of adaptive-fuzzy controllers for a class of nonlinear systems

摘要

This paper presents a methodology for the design of fuzzy logic controllers that guarantees prescribed performance for a class of nonlinear systems. It is shown that the proposed online learning algorithm learns the stabilizing membership functions (MFs) online from initial MFs that are selected using simple design criteria.