Neural Network-Based Practical/Ideal Integral Sliding Mode Control

Author:

Sacchi Nikolas1ORCID,Incremona Gian Paolo2ORCID,Ferrara Antonella1ORCID

Affiliation:

1. Dipartimento di Ingegneria Industriale e dell’Informazione, University of Pavia, Pavia, Italy

2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On neural networks application in integral sliding mode control;Journal of the Franklin Institute;2024-09

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3. Stable Online Learning-Based Adaptive Control of Spacecraft and Quadcopters;2024 IEEE Aerospace Conference;2024-03-02

4. Adaptive Finite-Time Backstepping Integral Sliding Mode Control of Three-Degree-of-Freedom Stabilized System for Ship Propulsion-Assisted Sail Based on the Inverse System Method;Journal of Marine Science and Engineering;2024-02-17

5. Adaptive fuzzy sliding-mode control of under-actuated systems with unknown input gain function;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-06

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