Adaptive neural sensor and actuator fault-tolerant control for discrete-time unknown nonlinear systems
This paper proposes a novel methodology for trajectory tracking of unknown discrete-time nonlinear systems under sensor and actuator faults. The proposed approach combines a recurrent neural identifier trained online with well-known characteristics of sliding mode technique. This paper includes a st...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-08-01
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| Series: | Franklin Open |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773186322000020 |