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This dissertation by Pratyush Kumar presents innovative methods for feedback controller design and process modeling using machine learning techniques, specifically focusing on reinforcement learning and neural networks. It explores the application of these methods in multivariable systems and hybrid model identification for building energy systems and chemical engineering processes. The research demonstrates significant improvements in control system performance and optimization through the proposed approac

Author
nhasan.usask
Language
EN

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