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

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.

Keywords:

Interval Type-2 Fuzzy , Iindirect Aadaptive Control , Approximation Error

Authors

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,

Certificate
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لینک ثابت به این Paper:

https://civilica.com/doc/730792

شناسه ملی سند علمی:

ICFUZZYS14_028

تاریخ نمایه سازی: 21 اردیبهشت 1397

How to Cite to This Paper:

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Mohammadzadeh, Ardashir and Ghaemi, Sehraneh and Mahboobi Esfanjani, Reza,1394,Improved Adaptive Type-2 Fuzzy Control for High Dimensional Nonlinear Systems,14th Iranian Conference on Fuzzy Systems,Tabriz,https://civilica.com/doc/730792

Scientometrics

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Ranking of University of Tabriz

Type of center: دانشگاه دولتی

Paper count: 30,016

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