Tunable Predefined Time Nonsingular Terminal Sliding Mode Control Based on Neural Network for Nonlinear Systems
This paper proposes a novel predefined time nonsingular terminal sliding mode control (TSMC) based on radial basis function neural network (RBFNN) for nonlinear systems. Firstly, a new lemma of tunable predefined time stability (PTS) is proposed, where the introduction of an adjustable parameter can...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10256170/ |