Generalization Backstepping Method Based Stabilization of Parameters Perturbation Chen Chaos Using Adaptive Neuro-Fuzzy Inference System

摘要：

This study deals with the control of chaos using Generalized Backstepping Method. This new method to control nonlinear systems was called Generalized Backstepping method because of its similarity to Backstepping but its abilities to control more systems than Backstepping. The General Backstepping Method could achieve better performance than Backtepping Method in respect of lower signal control, short settling time and overshoot, control ability of MIMO systems and non strict feedback systems. The Generalized Backstepping approach consists of parameters which accept positive values. The parameters are usually chosen optional. The system responded differently for each value. This paper introduce a novel adaptive neuro fuzzy control method which trained by different error data to,achieve optimal parameters. Hence with optimal parameters controller can stabilize the Chen chaos in much quicker than general backstepping method.

关键词： Chen chaos Lyapunov Generalized Backstepping Method ANFIS

作者: Nader Mehra Masoud Taleb Ziabari Seyed Amin Sadjadi Mohammad Reza Ali Reza Sahab

作者单位: Faculty of Electrical Engineering,Islamic Azad University Qazvin Branch, Irma Alamdari Faculty of Electrical Engineering,Islamic Azad University Qazvin Branch, Iran Daliri Faculty of Electrical Engineering, Iran University of Scienee and Technology (IUST), Narmak,T Faculty of Electrical Engineering,Islamic Azad University,Lahijan branch, Iran

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 818-822

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）