Adaptive Control of a Class of MIMO Nonlinear Systems with Input Saturation

被引：0
|
作者：
Huang, Jiangshuai [1 ]
Hu, Rui [1 ]
Gao, Tingting [2 ]
Zhou, Yong [3 ]
机构：
[1] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[2] Ningbo Univ, Zhejiang Text & Fash Coll, Sch Mech & Elect Engn, Ningbo 315211, Zhejiang, Peoples R China
[3] Yiheng Tech Co Ltd, Ningbo 315211, Zhejiang, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
基金：
中国国家自然科学基金;
关键词：
MIMO systems; Nussbuam function; Input saturation; NEURAL-NETWORK CONTROL; TRACKING CONTROL; CONSTRAINTS;
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, an adaptive control scheme for a class of MIMO high order nonlinear systems with input saturation is proposed. By proposing a novel Nussbaum-type function, the augmented system approach is extended to the saturated and MIMO nonaffine nonlinear systems and Lyapunov stability is established. The uncertain parameters and external disturbances are not required to be in a known compact set. Globally asymptotically convergence of tracking errors has been established and a simulation example is given to illustrate the effectiveness of the proposed control scheme.
引用
收藏
页码：7752 / 7756
页数：5
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