Networked Control for a Class of Nonlinear Systems Based on Fuzzy Hyperbolic Model

被引:0
|
作者
Yang, Jun [1 ]
Zhang, Huaguang [1 ]
Wang, Yingchun [1 ]
Lun, Shuxian [2 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Bohai Univ, Sch Informat Sci & Engn, Jinzhou 121013, Peoples R China
基金
美国国家科学基金会;
关键词
Networked control system; Fuzzy hyperbolic model; Nonlinear system; Packet dropout;
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
This paper concerns a problem of control for a class of nonlinear networked control systems (NCSs), which can be represented by a fuzzy hyperbolic model (FHM). The FHM is a universal approximator, and can be used to establish the model for unknown complex systems. Also an FHM is a kind of valid global description and nonlinear model inherently. In our scheme, both network-induced delay and packet dropout are addressed. The controller design method is presented based on a delay-dependent approach and the feedback controller gain matrices are obtain by solving a set of linear matrix inequalities (LMIs) by exploiting a new Lyapunov-Krasovskii functional and by making use of novel techniques for time-delay systems.
引用
收藏
页码:323 / +
页数:2
相关论文
共 50 条
  • [41] Delay-dependent stability of a class of nonlinear systems with time delays based on fuzzy hyperbolic model
    Zhang, Huaguang
    Yang, Jun
    [J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS, 2006, 4114 : 20 - 31
  • [42] Fuzzy H∞ Tracking Control for Nonlinear Networked Control Systems in T-S Fuzzy Model
    Jia, Xinchun
    Zhang, Dawei
    Hao, Xinghua
    Zheng, Nanning
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (04): : 1073 - 1079
  • [43] Observer-based H∞ control for a class of nonlinear networked systems
    Sun, Jian
    Liu, G. P.
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING, AND CONTROL, VOLS 1 AND 2, 2007, : 792 - +
  • [44] Adaptive tracking control of uncertain MIMO nonlinear systems based on generalized fuzzy hyperbolic model
    Cui, Yang
    Zhang, Huaguang
    Wang, Yingchun
    [J]. FUZZY SETS AND SYSTEMS, 2017, 306 : 105 - 117
  • [45] T-S fuzzy-model-based robust stabilization for a class of nonlinear discrete-time networked control systems
    Hu, Songlin
    Zhang, Yunning
    Yin, Xiuxia
    Du, Zhaoping
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2013, 8 : 69 - 82
  • [46] Nonlinear Fuzzy Model Predictive Control of a Class of Chaotic Systems
    Wang, Weijie
    Gan, Yongmei
    Wang, Bin
    Zhao, Xia
    Yang, Qian
    [J]. 2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC), 2018, : 710 - 715
  • [47] 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
  • [48] On the model-based approach to nonlinear networked control systems
    Polushin, Ilia G.
    Liu, Peter X.
    Lung, Chung-Horng
    [J]. AUTOMATICA, 2008, 44 (09) : 2409 - 2414
  • [49] On the model-based approach to nonlinear networked control systems
    Polushin, Ilia G.
    Liu, Peter X.
    Lung, Chung-Horng
    [J]. 2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, 2007, : 4057 - 4062
  • [50] Fuzzy linear-model-based robust control for a class of nonlinear stochastic systems
    Hwang, CL
    [J]. PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, 2003, : 458 - 463