Tracking Control of Nonlinear Networked and Quantized Control Systems with Communication Delays

TL;DR

This paper addresses the complex problem of tracking control in nonlinear networked and quantized control systems affected by communication delays, proposing a hybrid system model and stability conditions to ensure effective tracking performance.

Contribution

It develops a comprehensive hybrid system model for NQCSs with delays and quantization, providing stability conditions and explicit Lyapunov functions for specific protocols and quantizers.

Findings

Established stability conditions for NQCSs with delays and quantization.

Derived a tradeoff between transmission interval and delay.

Constructed explicit Lyapunov functions for common protocols and quantizers.

Abstract

This paper studies the tracking control problem of nonlinear networked and quantized control systems (NQCSs) with communication delays. The desired trajectory is generated by a reference system. The communication network is to guarantee the information transmission among the plant, the reference system and the controller. The communication network also brings about some undesired issues like time-varying transmission intervals, time-varying transmission delays, packet dropouts, scheduling and quantization effects, which lead to non-vanishing network-induced errors and affect the tracking performances. As a result, we develop a general hybrid system model for NQCSs with all aforementioned issues. Based on the Lyapunov approach, sufficient conditions are established to guarantee the stability of the tracking error with respect to the non-vanishing network-induced errors. The obtained conditions lead to a tradeoff between the maximally allowable transmission interval and the maximally allowable delay. Furthermore, the existence of Lyapunov functions satisfying the obtained conditions is studied. For specific time-scheduling protocols (e.g., Round-Robin protocol and Try-Once-Discard protocol) and quantizers (e.g., zoom quantizer and box quantizer), Lyapunov functions are constructed explicitly. Finally, a numerical example is presented to demonstrate the developed theory.