Abstract: In this paper, we develop a balancing theory for nonlinear differential-algebraic control systems. We exploit the maximally controlled invariant submanifold to define the controllability and ...
Abstract: We propose a novel approach that combines machine learning (ML) and Pareto optimization to simultaneously enhance the program efficiency and disturbance of 3D-NAND flash memory. The ...
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