Neural-Networks-Based Adaptive Fault-Tolerant Control of Nonlinear Systems With Actuator Faults and Input Quantization

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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Bibliographic Details
Main Authors: Mohamed Kharrat, Moez Krichen, Loay Alkhalifa, Karim Gasmi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Adaptive control
nonlinear systems
Lyapunov function
actuator faults
quantization
electromechanical system
Online Access:https://ieeexplore.ieee.org/document/10336788/

Internet

https://ieeexplore.ieee.org/document/10336788/

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