Adaptive neural network terminal sliding mode tracking control for uncertain nonlinear systems with time-varying state constraints
Exploring a novel adaptive asymmetric sliding mode control methodology with time-varying state constraints (TVSCs), we address trajectory tracking issues in uncertain nonlinear systems. The asymmetric barrier Lyapunov functions (ABLFs) and neural networks is employed within each subsystem’s virtual...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241279360 |
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