The exponential growth of data-intensive workloads, spanning large-scale neural inference and scientific computing, has exposed the inherent bottlenecks of conventional von Neumann architecture.

Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...

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Abstract: This article considers the semiglobal cooperative suboptimal output regulation problem of heterogeneous multi-agent systems with unknown agent dynamics in the presence of input saturation.