Finite-time adaptive fuzzy tracking control for stochastic nonlinear systems with time-delay via output-feedback

被引：1
|
作者：
Fu, Zhumu [1 ,2 ]
Lei, Xinyu [1 ]
Tao, Fazhan [1 ,3 ]
Wang, Nan [1 ,2 ,3 ]
Chen, Qihong [4 ]
机构：
[1] Henan Univ Sci & Technol, Coll Informat Engn, Luoyang 471023, Peoples R China
[2] Henan Univ Sci & Technol, Key Lab Robot & Intelligent Syst Henan Prov, Luoyang, Peoples R China
[3] Longmen Lab, Intelligent Syst Sci & Technol Innovat Ctr, Luoyang, Peoples R China
[4] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2023年 / 37卷 / 07期
基金：
中国国家自然科学基金;
关键词：
adaptive tracking control; finite-time control; fuzzy logic systems; state observer; stochastic nonlinear systems; time-delay;
D O I：
10.1002/acs.3606
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, the finite-time adaptive fuzzy tracking control issue for stochastic nonlinear systems with time-delay via output-feedback is studied. Firstly, a state observer and fuzzy logic systems with infinite approximation capability are utilized to estimate the unmeasured states and identify unknown nonlinear characteristics, respectively. Then, a finite-time adaptive fuzzy tracking controller is devised by the backstepping technology. It is shown that the presented control scheme can ensure the finite-time square stability of the stochastic nonlinear systems with time-delay, that is, the output tracking error converges to a sufficiently small neighborhood around the origin in finite-time, and all signals of the closed-loop system are bounded. Finally, the effectiveness of the presented control strategy is illustrated via two simulation examples.
引用
收藏
页码：1920 / 1939
页数：20
相关论文
共 50 条
  • [21] Adaptive neural output feedback control for stochastic nonlinear time-delay systems with unknown control directions
    Zhaoxu Yu
    Shugang Li
    Hongbin Du
    Neural Computing and Applications, 2014, 25 : 1979 - 1992
  • [22] Finite-time adaptive neural control for nonstrict-feedback stochastic nonlinear systems with input delay and output constraints
    Wang, Yingchun
    Zhang, Jiaxin
    Zhang, Huaguang
    Xie, Xiangpeng
    APPLIED MATHEMATICS AND COMPUTATION, 2021, 393
  • [23] Adaptive fuzzy finite-time tracking control of nonlinear systems with unmodeled dynamics
    Xu, Ke
    Wang, Huanqing
    Liu, Peter Xiaoping
    APPLIED MATHEMATICS AND COMPUTATION, 2023, 450
  • [24] Robust H∞ output-feedback control of systems with time-delay
    Suplin, V.
    Shaked, U.
    SYSTEMS & CONTROL LETTERS, 2008, 57 (03) : 193 - 199
  • [25] Global Adaptive Finite-Time Control for Stochastic Nonlinear Systems via State Feedback
    Wenting Zha
    Junyong Zhai
    Shumin Fei
    Circuits, Systems, and Signal Processing, 2015, 34 : 3789 - 3809
  • [26] Global Adaptive Finite-Time Control for Stochastic Nonlinear Systems via State Feedback
    Zha, Wenting
    Zhai, Junyong
    Fei, Shumin
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2015, 34 (12) : 3789 - 3809
  • [27] Finite-Time Stabilization of Switched Time-Delay System via Dynamic Output Feedback Control
    Shen, Yi
    Liu, Hao
    MECHANICAL ENGINEERING AND TECHNOLOGY, 2012, 125 : 523 - 528
  • [28] Finite-Time Tracking Control for Nonlinear Systems via Adaptive Neural Output Feedback and Command Filtered Backstepping
    Zhao, Lin
    Yu, Jinpeng
    Wang, Qing-Guo
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (04) : 1474 - 1485
  • [29] Adaptive fuzzy output-feedback tracking control for switched stochastic pure-feedback nonlinear systems
    Chang, Yi
    Wang, Yuanqing
    Alsaadi, Fuad E.
    Zong, Guangdeng
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2019, 33 (10) : 1567 - 1582
  • [30] Adaptive Fast Finite-Time Fuzzy Control of Stochastic Nonlinear Systems
    You, Zhaoyang
    Wang, Fang
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (07) : 2279 - 2288
12345