期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 51, 期 2, 页码 905-915出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2018.2888867
关键词
Delayed memristive neural networks (DMNNs); finite-time stabilization (FTS); fixed-time stabilization (FxTS); sliding-mode control; unified framework
资金
- National Natural Science Foundation of China [61703377, 61673188, 61703374]
- Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan [CUG170632]
This paper presents a unified framework for designing sliding-mode control to stabilize delayed memristive neural networks (DMNNs). It is proven that under this framework, the system responses can reach and stay on the designed sliding-mode surface in finite and fixed time. Additionally, the designed sliding-mode control can reject external disturbances effectively.
This paper proposes a unified framework to design sliding-mode control for stabilization of delayed memristive neural networks (DMNNs) with external disturbances. Under the presented framework, finite-time stabilization, and fixed-time stabilization of the controlled DMNNs can be, respectively, obtained by choosing different values for a specific control parameter. It is proved that the system responses can be made reaching the designed sliding-mode surface in finite and fixed time, and then stay on it. Moreover, it also illustrates that the inevitable external disturbances can be rejected by the designed sliding-mode control. Finally, the efficiency and superiority of the obtained main results are verified by comparisons with related works and numerical simulations.
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