We present a robust data-driven control scheme for an unknown linear system model with bounded process and measurement noise. Instead of depending on in traditional predictive control, controller utilizing reachable regions is proposed. The are based matrix zonotope recursion computed only noisy input-output data trajectory the system. assume that noise contained sets. While we knowledge these ...

Information about coronavirus prevention is important to know because as the global pandemic after being designated by World Health Organization (WHO) for four years. The aim of this article find out linguistic evidences from lexical aspects such items, categories, cohesion and bundles. Then analyzed it through corpus-driven analysis using AntConc software, software employed process data. This ...

Here the idea of data driven is introduced in model predictive control to establish our proposed data-driven control. Considering one first-order discrete time nonlinear dynamical ...

This study provides a data-driven analysis that illustrates clear renewable energy depiction in sustainable security and unveils the regional issues due to literature solely occupies concept descriptions view, differences related regions are rarely discussed. A hybrid method is proposed valid those indicators shows trend of future studies. enriches challenges opportunities by contributing under...