Robust and reliable H∞ control for linear systems with parameter uncertainty and actuator failure
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief paper: Fault tolerant control using sliding modes with on-line control allocation
Automatica (Journal of IFAC)
Sliding mode control design for uncertain delay systems with partial actuator degradation
International Journal of Systems Science
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
Hi-index | 0.01 |
In this paper, the design of controller based on neural network is investigated for a class of uncertain systems subject to actuator failures. An adaptive neural controller is designed by utilizing the approximation technique of neural network. The key feature in this work is to remove the requirement on the boundedness of unknown nonlinear functions that is usually encountered in the existing works. Moreover, sufficient conditions are derived such that the closed-loop system is robustly stable. Finally, numerical simulation results are given.