Event-triggered Communication Protocol Research Articles

Real-Time <inline-formula> <tex-math notation="TeX">${\cal L}_{1}$</tex-math></inline-formula> Adaptive Control for Uncertain Networked Control Systems

${\cal L}_{1}$ adaptive control is an appealing technology for control of systems in the presence of uncertainties. It addresses the issue of providing guaranteed transient performance and robustness for a class of adaptive architectures. This technical note studies the real-time output-feedback ${\cal L}_{1}$ adaptive tracking over real-time networks. Event-triggered communication protocols are presented to schedule data transmission between the plant and the controller. We show that under the proposed scheme the difference between the states of the resulting networked control systems and an ideal model is uniformly bounded, and the bound can be further reduced by improving the communication quality. Stability conditions, in terms of event thresholds, allowable transmission delays, and control parameters, are provided, which can serve as guidance in real-time scheduling.

AN EVENT-TRIGGERED COMMUNICATION PROTOCOL FOR INTELLIGENT REAL-TIME CONTROL

In this paper we propose an event-triggered communication protocol with dynamic priority setting for high-integrity systems. The dynamic priority scheduling involves two components: a component based on node transmission history, and a static node identifier. In order to investigate the characteristics of the proposed protocol, the worst-case performance is analysed and simulation experiments are conducted. The results show that an upper bound on the message delay time can be established with this approach.