Back to Search
Start Over
A Disturbance Rejection Framework for Finite-Time and Fixed-Time Stabilization of Delayed Memristive Neural Networks.
- Source :
- IEEE Transactions on Systems, Man & Cybernetics. Systems; Feb2021, Vol. 51 Issue 2, p905-915, 11p
- Publication Year :
- 2021
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- SLIDING mode control
Subjects
Details
- Language :
- English
- ISSN :
- 21682216
- Volume :
- 51
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 148208196
- Full Text :
- https://doi.org/10.1109/TSMC.2018.2888867