Abstract: In this article, we are concerned with the problem of distributed state estimation for discrete-time linear systems using a network of agents, where the measurement of each agent suffers ...
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 ...
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