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Adaptive Interval Type-2 Fuzzy Neural Network Sliding Mode Control of Nonlinear Systems Using Improved Extended State Observer

Author

Listed:
  • Lunhaojie Liu

    (College of IoT Engineerin, Jiangsu Key Lab. of Power Transmission and Distribution Equipment Technology, Hohai University, Changzhou 213022, China)

  • Juntao Fei

    (College of IoT Engineerin, Jiangsu Key Lab. of Power Transmission and Distribution Equipment Technology, Hohai University, Changzhou 213022, China
    College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China)

  • Xianghua Yang

    (College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China)

Abstract

An adaptive sliding mode control (ASMC) based on improved linear extended state observer (LESO) is proposed for nonlinear systems with unknown and uncertain dynamics. An improved LESO is designed to estimate total disturbance of the uncertain nonlinear system, and an interval type-2 fuzzy neural network (IT2FNN) is used to optimize and approximate the observe bandwidth of LESO, and the adaptive parameter tuning is realized based on the gradient descent (GD) method. Based on the total disturbance estimated by LESO, an ASMC strategy is designed to ensure the system stability. By adapting the sliding mode gain, the observation performance of LESO compared to the total disturbance can be better utilized, and system chattering is reduced. Finally, some simulation results are given which show that the proposed control strategy has a good control effect, strong practicability, and wide versatility.

Suggested Citation

  • Lunhaojie Liu & Juntao Fei & Xianghua Yang, 2023. "Adaptive Interval Type-2 Fuzzy Neural Network Sliding Mode Control of Nonlinear Systems Using Improved Extended State Observer," Mathematics, MDPI, vol. 11(3), pages 1-20, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:605-:d:1046162
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    Citations

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    Cited by:

    1. Ali Karami-Mollaee & Oscar Barambones, 2024. "On Neural Observer in Dynamic Sliding Mode Control of Permanent Magnet Synchronous Wind Generator," Mathematics, MDPI, vol. 12(14), pages 1-18, July.
    2. Yutong Bao & Changqing Du & Dongmei Wu & Huan Liu & Wei Liu & Jun Li, 2023. "Coordinated Slip Control of Multi-Axle Distributed Drive Vehicle Based on HLQR," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    3. Bingjie Zhang & Jian Wang & Xiaoling Gong & Zhanglei Shi & Chao Zhang & Kai Zhang & El-Sayed M. El-Alfy & Sergey V. Ablameyko, 2023. "First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization," Mathematics, MDPI, vol. 12(1), pages 1-14, December.

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