Traffic Abstractions of Nonlinear Event-Triggered Control Systems with Disturbances and Uncertainties

Scheduling communication traffic in networks of event-triggered control (ETC) systems is a very challenging task, as the exact sampling time instants are generally unknown (as opposed to periodic sampling). In previous work, finite-state systems (abstractions) were created, capturing the traffic generated by linear time-invariant ETC systems with a specific type of triggering function. It has been shown that such abstractions can be used for scheduling traffic in networks of ETC loops. In this work, we significantly extend this framework, by proposing a methodology for abstracting general nonlinear ETC systems with disturbances, uncertainties and general triggering functions.