Event-Triggered Tracking Control of Networked and Quantized Control Systems

TL;DR

This paper develops a hybrid model and decentralized event-triggered mechanisms for tracking control in networked, quantized systems with multiple asynchronous networks, reducing communication while ensuring performance.

Contribution

It introduces a novel emulation-based hybrid model and decentralized event-triggered control strategies for complex networked systems with multiple asynchronous networks.

Findings

Successfully guarantees tracking performance under network constraints.

Reduces communication load via local event-triggered mechanisms.

Provides sufficient conditions for system stability and performance.

Abstract

This paper studies the tracking control problem of networked and quantized control systems under both multiple networks and event-triggered mechanisms. Multiple networks are to connect the plant and reference system with decentralized controllers to guarantee their information transmission, whereas event-triggered mechanisms are to reduce the information transmission via multiple networks. In this paper, all networks are independent and asynchronous and have local event-triggered mechanisms, which are based on local measurements and determine whether the local measurements need to be transmitted. We first implement an emulation-based approach to develop a novel hybrid model for tracking control of networked and quantized control systems. Next, sufficient conditions are derived and decentralized event-triggered mechanisms are designed to ensure the tracking performance. Finally, a numerical example is given to illustrate the obtained results.