Fuzzy Tracking Control for a Class of Uncertain MIMO Nonlinear Systems With State Constraints

被引:75
|
作者
He, Wei [1 ,2 ]
Kong, Linghuan [3 ,4 ]
Dong, Yiting [5 ]
Yu, Yao [1 ]
Yang, Chenguang [6 ]
Sun, Changyin [7 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Key Lab Knowledge Automat Ind Proc, Minist Educ, Beijing 100083, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[4] Univ Elect Sci & Technol China, Ctr Robot, Chengdu 611731, Sichuan, Peoples R China
[5] Texas Tech Univ, Dept Mech Engn, Lubbock, TX 79409 USA
[6] South China Univ Technol, Coll Automat Sci & Engn, Key Lab Autonomous Syst & Networked Control, Guangzhou 510640, Guangdong, Peoples R China
[7] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Adaptive control; fuzzy control; multiple-input and multiple-output (MIMO) nonlinear systems; state constraints; ADAPTIVE NEURAL-CONTROL; BARRIER LYAPUNOV FUNCTIONS; OUTPUT-FEEDBACK CONTROL; SLIDING-MODE CONTROL; VIBRATION CONTROL; NETWORK CONTROL; STABILITY ANALYSIS; BOUNDARY CONTROL; CONTROL DESIGN; OBSERVER;
D O I
10.1109/TSMC.2017.2749124
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 fuzzy neural network (FNN) control scheme is developed for a class of multiple-input and multiple-output (MIMO) nonlinear systems subject to unknown dynamics and state constraints. FNNs are used to approximate the unknown dynamics that comprises the effects of uncertain parameters and functions. Also, integral Lyapunov functions are introduced to address state constraints. A neural-network-based observer is designed to estimate the unmeasurable states. With state-feedback and output feedback tracking control, the stability of closed-loop system is guaranteed via Lyapunov's stability theory. Two cases of simulations for MIMO systems with state constraints are conducted to verify the effectiveness of the proposed control.
引用
收藏
页码:543 / 554
页数:12
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