Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems

الملخص EN

This paper considers an adaptive neural control for a class of outputs time-delay nonlinear systems with perturbed or no.

Based on RBF neural networks, the radius basis function (RBF) neural networks is employed to estimate the unknown continuous functions.

The proposed control guarantees that all closed-loop signals remain bounded.

The simulation results demonstrate the effectiveness of the proposed control scheme.