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Big data-driven predictive control for nonlinear systems based on kernel density estimation of data trajectories
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AI
DOI：10.1016/j.compchemeng.2026.109565.png)
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Abstract
En 中文
• A big data-driven predictive control based on kernel density estimation (KDE). • Sub-behaviours interpolated based on data trajectory KDE and linear space distance. • Linear sub-behaviours are connected with interpolated ones for control design. • An online predictive control design developed based on information entropy.
Journal
C
IF:
3.9
Papers:
184
Citations:
0