Type-2 Fuzzy Neural Network Controller for a class of Nonlinear Systems

被引：0
|
作者：
Farahani, Hossein Moradi [1 ]
Askari, Javad [1 ]
Zekri, Maryam [1 ]
Kamali, Marzieh [1 ]
机构：
[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan 8415683111, Iran
来源：
2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2013年
关键词：
Adaptive control; Type-2 fuzzy neural network; Non linear affine system; Twin-tank system; LOGIC SYSTEMS; ADAPTIVE-CONTROL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a direct adaptive type-2 fuzzy neural network controller to control nonlinear affine systems using feedback linearization theory and type-2 fuzzy neural networks. In this method, feedback linearization control input is approximated using a type-2 fuzzy neural network. The designed controller is applied to control the liquid level of the Twin-tank system and the results are compared to that of Adaptive-Network-Based Fuzzy Inference System (ANFIS). Simulation results show the ability of the proposed method to control nonlinear affine systems, especially in the presence of noisy data.
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页数：6
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