Abstract: In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The ...
So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...
Abstract: In this article, the robust state estimation for discrete-time systems subject to non-Gaussian process and measurement noises (PMNs) is considered. Employing the ability of mixture ...
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