Adaptive Soft Sensors in building Inferential Control Systems - Abusnina, Ali
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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.…mehr

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Produktbeschreibung
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.
Autorenporträt
Dr Abusnina is a machine learning scientist who did his Engineering doctorate degree in data-driven modelling at the university of York - UK, and his MSc in smart systems and technology at the university of Bournemouth - UK. Dr. Abusnina is currently a senior associate in Advanced Analytics & Machine Learning practic at Cognizant Technology Solutions.