Nonlinear sliding mode control design approach based on neural network modelling

被引:0
作者
Control Systems Research, Department of Engineering, University of Leicester, Leicester LE1 7RH, United Kingdom [1 ]
机构
来源
Int J Robust Nonlinear Control | / 7卷 / 397-423期
关键词
Backpropagation - Computer simulation - Control system synthesis - Errors - Neural networks - Robustness (control systems);
D O I
暂无
中图分类号
学科分类号
摘要
A complete nonlinear framework for the modelling and robust control of nonlinear systems is proposed. The use of neural networks for continuous time modelling to obtain a certain nonlinear canonical form is investigated. The model obtained is used with recently proposed dynamic sliding mode controller design methods. The robustness bounds needed for controller design are determined from modelling errors. A modified version of the backpropagation theorem is also introduced.
引用
收藏
相关论文
共 50 条
  • [21] Design of Sliding Mode Control for Complex Nonlinear Models: A Numerical Approach
    Rehan, Ahmed
    Al-Durra, Ahmed
    IEEE ACCESS, 2020, 8 (08): : 166347 - 166364
  • [22] Adaptive sliding mode control using RBF Neural Network for nonlinear system
    Zhang, Ming-Guang
    Chen, Yu-Wu
    Wang, Peng
    Wang, Zhao-Gang
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 1860 - 1865
  • [23] Adaptive Neural Network Sliding Mode Control for a Class of SISO Nonlinear Systems
    Li, Bin
    Zhu, Jiahao
    Zhou, Ranran
    Wen, Guoxing
    MATHEMATICS, 2022, 10 (07)
  • [24] Robust Adaptive Sliding Mode Control of Nonlinear Systems Using Neural Network
    El Ferik, Sami
    Mahmoud, Magdi S.
    Maaruf, Muhammad
    PROCEEDINGS OF THE 2020 17TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD 2020), 2020, : 591 - 596
  • [25] Modified Recurrent Fuzzy Neural Network Sliding Mode Control for Nonlinear Systems
    Chu, Yundi
    Yang, Ming
    Han, Jienan
    Xie, Qianwen
    2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021), 2021, : 560 - 565
  • [26] Design of Robust Adaptive Controller for Industrial Robot Based on Sliding Mode Control and Neural Network
    Chuyen, Tran Duc
    Van Doan, Hoa
    Van Minh, Pham
    Thong, Vu Viet
    INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND ROBOTICS RESEARCH, 2023, 12 (03): : 145 - 150
  • [27] Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach
    Yang, Guangyi
    Bekiros, Stelios
    Yao, Qijia
    Mou, Jun
    Aly, Ayman A.
    Sayed, Osama R.
    ENTROPY, 2024, 26 (12)
  • [28] Sliding mode control of nonlinear system based-on neural networks
    Lei, HL
    Zhang, DZ
    Liu, WH
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 962 - 966
  • [29] Robust Nonlinear Control Design for Ionic Polymer Metal Composite based on Sliding Mode Approach
    Wang, Dongyun
    Zhang, Qiang
    Wang, Aihui
    2014 UKACC INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2014, : 519 - 524
  • [30] Tunable Predefined Time Nonsingular Terminal Sliding Mode Control Based on Neural Network for Nonlinear Systems
    Jia, Chao
    Liu, Xiaohua
    IEEE ACCESS, 2023, 11 : 105570 - 105577