Distributed control for large-scale systems with adaptive event-triggering

The asymptotic stability of distributed-event triggered control for large-scale interconnected systems can be achieved with time-dependent trigger functions. The choice of some of the parameters in the trigger functions relies on some properties of the overall system, which are not known a priori by the individual nodes. This paper presents an iterative method for the distributed estimation of such parameters, which allows the event-triggered control algorithm to evolve to a less conservative design. We provide proofs of convergence while the asymptotic stability and the existence of a lower bound for the inter-event times are preserved. The complexity of the proposed approach is analyzed, and the results are illustrated through simulations.