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,...

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Autors principals:	Mohamed Kharrat, Moez Krichen, Loay Alkhalifa, Karim Gasmi
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Adaptive control nonlinear systems Lyapunov function actuator faults quantization electromechanical system
Accés en línia:	https://ieeexplore.ieee.org/document/10336788/
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