A novel terminal sliding mode observer with RBF neural network for a class of nonlinear systems
Author:
Publisher
Inderscience Publishers
Subject
Control and Systems Engineering
Cited by 7 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. Fractional Super-Twisting/Terminal Sliding Mode Protocol for Nonlinear Dynamical Model: Applications on Hovercraft/Chaotic Systems;Journal of Marine Science and Application;2023-09
2. Design and experimental validation of non-singular terminal sliding mode control for level control system;2021 IEEE 18th India Council International Conference (INDICON);2021-12-19
3. Adaptive MLP neural network controller for consensus tracking of Multi-Agent systems with application to synchronous generators;Expert Systems with Applications;2021-12
4. Distributed Neural Observer-Based Formation Strategy of Non-Affine Nonlinear Multi-Agent Systems with Unknown Dynamics;Journal of Circuits, Systems and Computers;2020-09-17
5. Fractional sliding mode based on RBF neural network observer: Application to HIV infection mathematical model;Computers & Mathematics with Applications;2020-06
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