Output tracker design for uncertain nonlinear sandwich systems with sandwiched dead-zone nonlinearity based on adaptive finite-time control

被引:9
|
作者
Azhdari, Meysam [1 ]
Binazadeh, Tahereh [1 ]
机构
[1] Shiraz Univ Technol, Dept Elect & Elect Engn, Modares Blvd, Shiraz, Iran
关键词
Nonlinear sandwich systems; dead-zone nonlinearity; barrier Lyapunov functions; adaptive finite-time tracking; BARRIER LYAPUNOV FUNCTIONS; NEURAL-CONTROL; DELAY SYSTEMS; STABILIZATION; DIFFERENTIATION;
D O I
10.1080/00207721.2020.1834641
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 addresses the adaptive finite-time tracking problem for nonlinear sandwich systems with dead-zone nonlinearity and full state constraints. The existence of the non-smooth dead-zone nonlinearity between the subsystems of the sandwich system makes the controller design as a challenging task. In this paper, a novel adaptive backstepping controller is proposed by employing the finite-time stability theorem and based on the barrier Lyapunov functions and finite-time command filters. The proposed controller guarantees the output tracking of the specified time-varying reference signal with the sufficiently small bounded tracking error in a finite-time. Moreover, all states of the controlled system are confined to predefined compact sets. To verify the theoretical achievements and show the applicability of the proposed method, simulation results are provided for both numerical and practical examples.
引用
收藏
页码:596 / 611
页数:16
相关论文
共 50 条
  • [21] Event-triggered adaptive asymptotic tracking control of uncertain nonlinear systems with unknown dead-zone constraints
    Wu, Li-Bing
    Park, Ju H.
    Xie, Xiang-Peng
    Liu, Ya-Juan
    Yang, Zhi-Chun
    APPLIED MATHEMATICS AND COMPUTATION, 2020, 386 (386)
  • [22] Fuzzy Adaptive Fault-Tolerant Control for Uncertain Nonlinear Systems With Unknown Dead-Zone and Unmodeled Dynamics
    Jing, Yan-Hui
    Yang, Guang-Hong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (12) : 2265 - 2278
  • [23] Adaptive fuzzy control of switched nonlinear systems with uncertain dead-zone: A mode-dependent fuzzy dead-zone model
    Chen, Yanxian
    Liu, Zhi
    Chen, C. L. Philip
    Zhang, Yun
    NEUROCOMPUTING, 2021, 432 : 133 - 144
  • [24] Adaptive Neural Finite-Time Control of Non-Strict Feedback Nonlinear Systems With Non-Symmetrical Dead-Zone
    Cai, Mingjie
    Shi, Peng
    Yu, Jinpeng
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (01) : 1409 - 1414
  • [25] Uniformly ultimately bounded tracking control of sandwich systems with nonsymmetric sandwiched dead-zone nonlinearity and input saturation constraint
    Azhdari, Meysam
    Binazadeh, Tahereh
    JOURNAL OF VIBRATION AND CONTROL, 2022, 28 (9-10) : 1109 - 1125
  • [26] Finite-Time Tracker Design for Uncertain Nonlinear Fractional-Order Systems
    Binazadeh, Tahereh
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2016, 11 (04):
  • [27] Adaptive Fuzzy Finite-Time Tracking Control for Nonstrict Full States Constrained Nonlinear System With Coupled Dead-Zone Input
    Li, Shu
    Ding, Liang
    Gao, Haibo
    Liu, Yan-Jun
    Huang, Lan
    Deng, Zongquan
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (02) : 1138 - 1149
  • [28] Adaptive consensus for heterogeneous unknown nonlinear multi-agent systems with asymmetric input dead-zone: A finite-time approach
    Zamanian, Mehdi
    Abdollahi, Farzaneh
    Nikravesh, Seyyed Kamaleddin Yadavar
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (01) : 105 - 120
  • [29] Simple Adaptive Robust Output Tracking Controllers for Uncertain Nonlinear Time-Delay Systems with Dead-Zone Input
    Wu, Hansheng
    2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2017, : 552 - 557
  • [30] Adaptive Finite-Time Command Filtered Controller Design for Nonlinear Systems With Output Constraints and Input Nonlinearities
    Wang, Kun
    Liu, Xiaoping
    Jing, Yuanwei
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (11) : 6893 - 6904