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Adaptive NNs Backstepping Fault Control for A Class of Nonli...

Adaptive NNs Backstepping Fault Control for A Class of Nonlinear Systems

作     者:Guowei Dong Yongming Li Shaocheng Tong 

作者单位:College of ScienceLiaoning University of Technology 

会议名称:《第36届中国控制会议》

会议届次:36

主办单位:Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)

会议日期:2017年

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 080201[工学-机械制造及其自动化] 

基  金:supported by the National Natural Science Foundation of China(Nos.61573175,61374113) Liaoning BaiQianWan Talents Program the Program for Liaoning Excellent Talents in University(No.LJQ2015048) 

关 键 词:fault-tolerant control adaptive NNs control adaptive backstepping design 

摘      要:In this paper,the problem of fault-tolerant control(FTC) is investigated for a class of nonlinear single input and single output(SISO) systems in the non-strict feedback *** considered system possess unknown nonlinear functions,measured states,unknown control direction and actuator faults(bias and gain faults).With the help of Neural Network System(NNs) to approximate the unknown nonlinear functions and a fuzzy adaptive observer is designed to estimate the unmeasured *** the frame of adaptive backstepping design technique,and by combining with the nonlinear fault-tolerant control theory,the control performance of the closed-loop system is guaranteed by suitably choosing the design parameters,an adaptive NNs output feedback FTC method is *** is shown that the given control approach can prove that all signals in the closed-loop system are proved to be bounded,and the tracking errors between the system outputs and the reference signals converge to a small neighborhood of zero by choice of the design parameters.

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