Adaptive State-Quantized Control of Uncertain Lower-Triangular Nonlinear Systems with Input Delay

In this paper, we investigate the adaptive state-quantized control problem of uncertain lower-triangular systems with input delay. It is assumed that all state variables are quantized for feedback design. The error transformation method using an auxiliary time-varying signal presented to deal compensation Based on surfaces variable, a neural-network-based scheme constructed design delay compensator. Different from existing results in literature, proposed exhibits following features: (i) compensating effect by states; and (ii) establishing stability system presence Furthermore, boundedness signals closed-loop convergence tracking analyzed. effectiveness developed strategy demonstrated through simulation hydraulic servo system.