Adaptive soft sensors in building inferential control systems is a doctoral research that was conducted at the university of York - UK. The research introduces the development of data-driven models based on Gaussian processes and experimentally demonstrates the integration of these models with control systems to build what is called inferential control. It investigates Gaussian processes as a soft sensor building technique addresses the issues associated with this method proposes deploying these sensors in inferential control and adopts a methodology to enhance the reliability of the introduced inferential control system.
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