Improved Adaptive Type-2 Fuzzy Control for High Dimensional Nonlinear Systems

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 521

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شناسه ملی سند علمی:

ICFUZZYS14_028

تاریخ نمایه سازی: 21 اردیبهشت 1397

چکیده مقاله:

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.

نویسندگان

Ardashir Mohammadzadeh

Ph.D. student, Electrical Engineering Department, University of Tabriz, Tabriz, Iran,

Sehraneh Ghaemi

Academic member, Electrical Engineering Department, University of Tabriz, Tabriz, Iran,

Reza Mahboobi Esfanjani

Academic member, Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran,