Neural network based linearization and control of sputter processes

Abstract

A model-based design method is developed to control nonlinear multiple-input multiple-output sputter processes. The method consists of three control structures. Artificial neural networks are identified to decouple the subsystems and linearize the plant. Local linear controllers are designed to ensure set-point following of the closed-loop system with the… (More)
DOI: 10.1109/ASCC.2017.8287626

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