Adaptive Fault-tolerant Control for Uncertain Nonlinear System with Guaranteed Pre-described Performance

被引：0
|
作者：
Nie, Zhiyuan [1 ]
Song, Yongduan [1 ]
He, Liu [1 ]
Zhao, Kai [1 ]
机构：
[1] Chongqing Univ, Coll Automat, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
Adaptive control; Fault-tolerant; Pre-described performance; Backstepping; Nussbaum gain; Deep-rooted information; NEURAL-CONTROL; CONTROL DESIGN; TRANSIENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.
引用
收藏
页码：28 / 33
页数：6
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