Distributed Event-Triggered Consensus Control of Discrete-Time Linear Multi-Agent Systems under LQ Performance Constraints
This work addresses communication efficiency in multi-agent control systems, offering an incremental improvement by integrating event-triggered mechanisms with LQ constraints.
The paper tackles the problem of achieving consensus in multi-agent systems while meeting a prescribed linear-quadratic (LQ) performance constraint, using a distributed event-triggered control method that reduces communication compared to all-time communication baselines, with numerical examples verifying its effectiveness.
This paper proposes a distributed event-triggered control method that not only guarantees consensus of multi-agent systems but also satisfies a prescribed LQ performance constraint. Taking the standard distributed control scheme with all-time communication as a baseline, we consider the problem of designing an event-triggered communication rule such that the resulting LQ cost satisfies a performance constraint with respect to the baseline cost while consensus is achieved. For general linear agents over an undirected graph, we employ local state predictors and a local triggering condition based only on information available to each agent. We then derive a sufficient condition for the proposed method to satisfy the performance constraint and guarantee consensus. In addition, we develop a tractable parameter design method for selecting the triggering parameters offline. Numerical examples demonstrate the effectiveness of the proposed method.