Abstract: In this paper, the event-triggered leader-following positive consensus (LFPC) problem of multi-agent systems (MASs) is studied. Through the application of positive system theory, a ...

Abstract: This study proposes a novel synchronization framework for memristive chaotic systems (MCSs) through an enhanced deep reinforcement learning (DRL) approach, featuring an improved proximal ...