Improved Adaptive Type-2 Fuzzy Control for High Dimensional Nonlinear Systems, By Ardashir Mohammadzadeh

Research

Title	Improved Adaptive Type-2 Fuzzy Control for High Dimensional Nonlinear Systems
Type	Presentation
Keywords	Interval Type-2 Fuzzy, Iindirect Aadaptive Control, Approximation Error
Researchers	Ardashir Mohammadzadeh، Sehraneh Ghaemi، Reza Mahboobi Esfanjani

Abstract

This paper presents an adaptive controller for a class of uncertain high dimensional nonlinear systems by using novel simplified type-2 fuzzy neural network (ST2FNN) and new 3-dimensional membership functions. Adaptation of consequent parameters and stability analysis are carried out using an appropriate Lyapunov function. Moreover, innovative approach is proposed for compensation of approximation error. The proposed method is then simulated on a flexible joint robot in a feedback linearization form. Simulation results demonstrate the effectiveness of the proposed control method