Adaptive Fuzzy Control for Nonlinear Networked Control Systems

被引:155
|
作者
Wu, Chengwei [1 ]
Liu, Jianxing [1 ]
Jing, Xingjian [2 ]
Li, Hongyi [3 ,4 ]
Wu, Ligang [1 ]
机构
[1] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Heilongjiang, Peoples R China
[2] Hong Kong Polytech Univ, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
[3] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China
[4] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Adaptive fuzzy control; networked control systems (NCSs); network-induced delay; SLIDING-MODE CONTROL; STABILITY ANALYSIS; TRACKING CONTROL; FEEDBACK-CONTROL; NEURAL-CONTROL; OBSERVER; QUANTIZATION; DESIGN;
D O I
10.1109/TSMC.2017.2678760
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the problem of adaptive fuzzy control for a category of single-input single-output nonlinear networked control systems with network-induced delay and data loss based on adaptive backstepping control approach. Fuzzy logic systems are used to approximate the unknown nonlinear characteristics existing in the system, while Pade approximation is introduced to handle network-induced delay. Data loss occurs intermittently and stochastically in the data transmitting process, which is regarded as the delay in the controller design. In the framework of adaptive fuzzy backstepping technique, a novel state-feedback adaptive controller is constructed to ensure all signals in the resulting closed-loop system to be bounded and the state variables can be regulated to the origin. Finally, two examples are given to show the validity of the proposed results.
引用
收藏
页码:2420 / 2430
页数:11
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