Robust adaptive control of a class of nonlinear strict-feedback discrete-time systems with exact output tracking

被引:44
|
作者
Ge, Shuzhi Sam [1 ,2 ]
Yang, Chenguang [1 ,2 ]
Dai, Shi-Lu [1 ,2 ]
Jiao, Zongxia [3 ]
Lee, Tong Heng [1 ,2 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
[2] Natl Univ Singapore, Social Robot Lab, Interact Digital Media Inst, Singapore 119077, Singapore
[3] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
关键词
Discrete-time system; Nonparametric nonlinear uncertainties; Unmatched uncertainties; Asymptotical tracking; UNCERTAINTY; DESIGN; MODELS;
D O I
10.1016/j.automatica.2009.07.025
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, adaptive control is studied for a class of single-input-single-output (SISO) nonlinear discrete-time systems in strict-feedback form with nonparametric nonlinear uncertainties of the Lipschitz type. To eliminate the effect of the nonparametric uncertainties in an unmatched manner, a novel future states prediction is designed using states information at previous steps to compensate for the effect of uncertainties at the current step. Utilizing the predicted future states, constructive adaptive control is developed to compensate for the effects of both parametric and nonparametric uncertainties such that global stability and asymptotical output tracking is achieved. The effectiveness of the proposed control law is demonstrated in the simulation. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2537 / 2545
页数:9
相关论文
共 50 条
  • [1] Adaptive fuzzy backstepping control for a class of strict-feedback discrete-time nonlinear systems
    Wang, Xin
    Li, Tieshan
    Cai, Yao
    Lin, Bin
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 261 - 266
  • [2] A Novel Adaptive Fuzzy Control for a Class of Discrete-Time Nonlinear Systems in Strict-Feedback Form
    Wang, Xin
    Li, Tieshan
    Lin, Bin
    2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 727 - 733
  • [3] Robust adaptive control for a class of uncertain strict-feedback nonlinear systems
    Hong, F.
    Ge, S. S.
    Ren, B.
    Lee, T. H.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2009, 19 (07) : 746 - 767
  • [4] Adaptive Asymptotic Tracking Control of Strict-Feedback Nonlinear Discrete-Time System with Periodic Time Delay
    Yang, Chenguang
    Xu, Bin
    Ma, Hongbin
    Culverhouse, Phil
    2012 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), 2012, : 1310 - 1315
  • [5] ROBUST ADAPTIVE FUZZY FILTERS OUTPUT FEEDBACK CONTROL OF STRICT-FEEDBACK NONLINEAR SYSTEMS
    Tong, Shaocheng
    Liu, Changliang
    Li, Yongming
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2010, 20 (04) : 637 - 653
  • [6] Intelligent Robust Tracking Control for a Class of Uncertain Strict-Feedback Nonlinear Systems
    Chang, Yeong-Chan
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (01): : 142 - 155
  • [7] Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems
    Wang, Min
    Wang, Zidong
    Chen, Yun
    Sheng, Weiguo
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (07) : 2946 - 2958
  • [8] Quantized Output Feedback Control for a Class of Strict-Feedback Nonlinear Systems
    Sun, Kangkang
    Ma, Min
    Qiu, Jianbin
    2019 9TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2019), 2019, : 97 - 101
  • [9] Adaptive robust output tracking of uncertain strict-feedback nonlinear time-delay systems via control schemes with simple structure
    Wu, Hansheng
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (12) : 2669 - 2681
  • [10] A novel single fuzzy approximation based adaptive control for a class of uncertain strict-feedback discrete-time nonlinear systems
    Xiao, Zhongming
    Li, Tieshan
    Li, Zifu
    NEUROCOMPUTING, 2015, 167 : 179 - 186