An analysis of contamination control and monitoring in battery manufacturing, highlighting data-driven strategies to improve ...
Discover how an Ishikawa diagram identifies cause and effect in processes, aiding quality control in manufacturing and ...
Abstract: This letter proposes a novel Data-Driven (DD) method for controlling unknown input-affine nonlinear systems. First, we estimate the system dynamics from noisy data offline through Subspace ...
SCIEX highlights six industry collaborations as it continues to build an integrated software environment with SCIEX software ...
Abstract: This article presents a robust data-driven predictive control (RDPC) framework for linear time-invariant (LTI) systems affected by bounded disturbances and measurement noise. Unlike ...
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