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
相关论文
共 50 条
  • [1] Design of Adaptive Fuzzy Control for a Class of Networked Nonlinear Systems
    Hamdy, Mohamed
    Abd-Elhaleem, Sameh
    Fkirin, M. A.
    [J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2017, 139 (03):
  • [2] Fuzzy model and control of nonlinear networked control systems
    Yan, W
    Hu, WL
    Fan, WH
    [J]. 2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2, 2005, : 1060 - 1063
  • [3] An adaptive fuzzy sliding mode control for networked control systems
    Xu, Li-Jie
    Dong, Chao-Yang
    Chen, Yu
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 1190 - 1195
  • [4] Fuzzy Tracking Control for Nonlinear Networked Systems
    Li, Hongyi
    Wu, Chengwei
    Jing, Xingjian
    Wu, Ligang
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (08) : 2020 - 2031
  • [5] Direct Model Reference Adaptive Fuzzy Control of Networked SISO Nonlinear Systems
    Khanesar, Mojtaba Ahmadieh
    Oniz, Yesim
    Kaynak, Okyay
    Gao, Huijun
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 21 (01) : 205 - 213
  • [6] Adaptive Fuzzy Decentralized Tracking Control for Large-Scale Interconnected Nonlinear Networked Control Systems
    Ma, Min
    Wang, Tong
    Qiu, Jianbin
    Karimi, Hamid Reza
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (10) : 3186 - 3191
  • [7] Fuzzy event-triggered control for nonlinear networked control systems
    Du, Zhenbin
    Kao, Yonggui
    Park, Ju H.
    Zhao, Xudong
    Sun, Jian'an
    [J]. Journal of the Franklin Institute, 2022, 359 (06): : 2593 - 2607
  • [8] Switching Fuzzy Guaranteed Cost Control for Nonlinear Networked Control Systems
    Cai, Linqin
    Yang, Zhuo
    Yu, Jimin
    Zhang, Zhenhua
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [9] Fuzzy event-triggered control for nonlinear networked control systems
    Du, Zhenbin
    Kao, Yonggui
    Park, Ju H.
    Zhao, Xudong
    Sun, Jian'an
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (06): : 2593 - 2607
  • [10] Event-triggered fuzzy control for nonlinear networked control systems
    Pan, Yingnan
    Yang, Guang-Hong
    [J]. FUZZY SETS AND SYSTEMS, 2017, 329 : 91 - 107