Adaptive neural control design for a class of perturbed nonlinear time-varying delay and input delay systems

This thesis We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay and input delay systems. Based on a neural controller is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, Which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, While the output tracking error dynamics converges to a neighborhood of the desired trajectories. The simulation results demonstrate the effectiveness of the proposed control scheme.