This paper addresses the self-triggered consensus control (STC) problem for unknown linear multi-agent systems (MASs). Self-triggering mechanisms (STMs) have gained popularity in the context of MASs due to their ability to eliminate the need for continuous monitoring and reduce communication demands. However, conventional STM designs typically rely on explicit model knowledge, which is often difficult to obtain in practical applications. To overcome this limitation, we propose a data-driven framework for synthesizing an STC protocol that integrates an STM with a state feedback control law. Fir...
