Neural-Networks-Based Adaptive Fault-Tolerant Control of Nonlinear Systems With Actuator Faults and Input Quantization
In this work, the neural networks-based adaptive fault-tolerant control problem for nonlinear systems with actuator faults and input quantization is investigated. To approximate the nonlinear functions in the control system, radial basis function neural networks (RBFNN) are introduced. Additionally,...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , |
|---|---|
| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
IEEE
2023-01-01
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| Цуврал: | IEEE Access |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://ieeexplore.ieee.org/document/10336788/ |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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