Adaptive Control of Uncertain Nonlinear Systems With Discontinuous Input and Time-Varying Input Delay

被引:10
|
作者
Xia, Xiaonan [1 ]
Zhang, Tianping [1 ]
Kang, Guanpeng [1 ]
Fang, Yu [1 ]
机构
[1] Yangzhou Univ, Dept Automat, Coll Informat Engn, Yangzhou 225127, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Delays; Nonlinear systems; Time-varying systems; Trajectory; Stability analysis; Quantization (signal); Output feedback; Adaptive control; event-triggered control; Lyapunov-Krasovskii functional; quantized input; unknown time-varying input delay; OUTPUT-FEEDBACK CONTROL; LINEAR-SYSTEMS; QUANTIZED INPUT; STABILIZATION; SCHEME;
D O I
10.1109/TSMC.2022.3158617
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 note, we investigate the adaptive quantized or event-triggered control designs for strict-feedback nonlinear systems with time-varying input delay. Because the control signal is discontinuous in the quantized control and event-triggered control, many existing methods to deal with the input delay are no longer applicable. Through constructing an auxiliary tracking error and an auxiliary system, the input-quantized control is implemented for nonlinear systems with unknown control gain and unknown input delay. With the well-designed Lyapunov-Krasovskii functionals and the linear growth condition of input delay, the stability analysis is achieved. The studied method is also applicable to the event-triggered control for systems possessing unknown input delay. The stability analysis shows that all the signals are semiglobally uniformly ultimately bounded (SGUUB). The use of dynamic surface control (DSC) effectively simplifies the controller structure. The quantized and event-triggered control simulations illustrate that the proposed schemes are effective.
引用
收藏
页码:7248 / 7258
页数:11
相关论文
共 50 条
  • [21] Adaptive Fuzzy Dynamic Surface Control for Nonlinear Systems with Time-Varying Input Delay and Sampled Data
    XiaoDan Fan
    KunTing Yu
    International Journal of Fuzzy Systems, 2020, 22 : 2236 - 2245
  • [22] Stabilising controller design for uncertain systems with time-varying input delay
    Yue, D
    Lam, J
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2004, 151 (06): : 699 - 705
  • [23] Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay
    Wang, Ruliang
    Li, Jie
    Zhang, Shanshan
    Gao, Dongmei
    Sun, Huanlong
    SCIENTIFIC WORLD JOURNAL, 2013,
  • [24] Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints
    Cao, Boqiang
    Nie, Xiaobing
    Wu, Zhongwen
    Xue, Changfeng
    Cao, Jinde
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (14): : 7073 - 7095
  • [25] Adaptive generic model control for a class of nonlinear time-varying processes with input time delay
    Wang, D
    Zhou, DH
    Jin, YH
    Qin, SJ
    JOURNAL OF PROCESS CONTROL, 2004, 14 (05) : 517 - 531
  • [26] Adaptive H∞ control for a class of nonlinear time-delay systems with uncertain input delay
    Chai, Lin
    Fei, Shu-Min
    Xin, Yun-Bing
    Zidonghua Xuebao/Acta Automatica Sinica, 2006, 32 (02): : 237 - 245
  • [27] Adaptive control for a class of nonlinear systems with time-varying delays in state and input
    Jiao X.
    Yang J.
    Li Q.
    Journal of Control Theory and Applications, 2011, 9 (2): : 183 - 188
  • [28] Adaptive control of a class of periodically time-varying nonlinear systems with input backlash
    Zhu, Sheng
    Sun, Ming-Xuan
    He, Xiong-Xiong
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2012, 29 (04): : 535 - 538
  • [29] Control of an Uncertain Nonlinear System with Known Time-Varying Input Delays with Arbitrary Delay Rates
    Chakraborty, I.
    Obuz, S.
    Dixon, W. E.
    IFAC PAPERSONLINE, 2016, 49 (18): : 522 - 527
  • [30] Predefined-Time Precise Tracking of Uncertain MIMO Nonlinear Systems With Time-Varying Input Delay
    Hua, Zhiwei
    Xu, Shengyuan
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2025,