Design of a Recurrent Functional Neural Fuzzy Controller for Dynamic System Control

摘要：

This study presents an recurrent functional neural fuzzy controller (RFNFC) for dynamic system control. The proposed RFNFC model has feedback connections added in the membership function layer that can used to memorize past information. A hardware-in-the loop (HIL) control technique is developed and applied to the designed RFNFC. The proposed RFNFC is used in the practical applications - the planetary train type inverted pendulum system. The experimentation is developed in a real-time visual simulation (VisSim) environment. Experimental results of this study have demonstrated the effectiveness of the proposed RFNFC for solving the dynamic system control problem.

关键词： Neural fuzzy networks recurrent networks control planetary train type inverted pendulum

作者: Cheng-Jian Lin Han Chung Chi-Yung Lee

作者单位: Dept. of CSIE National Chin-Yi University of Technology Taichung County 411, Taiwan,R.O.C. Dept. of CSIE NanKai University of Technology Nantou County 542, Taiwan,R.O.C.

会议类型: 国际会议

会议名称: 2010 International Symposium on Computational Intelligence and Edsign(第三届计算智能与设计国际学术研讨会 ISCID 2010)

会议地点: 杭州

会议语种:英文

页码: 191-195

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）