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A Digital Twin for Controlling Industrial Processes

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  • UserDr. Amritam Das, University of Cambridge
  • ClockThursday 19 November 2020, 14:00-15:00
  • HouseOnline (Zoom).

If you have a question about this talk, please contact Thiago Burghi .

Zoom meeting link: https://zoom.us/j/98082715567

A Digital twin is a computer-aided platform that virtually represents the working of an industrial asset. While remote working has become the social norm, digital twins will play a major role in the operation of future industries. Its framework helps to bring an industrial process out of the four walls of a laboratory to perform experiments, modifications, analysis, prediction and diagnostics without requiring its physical form. In this presentation, we explore how the field of systems and control can contribute to building a digital twin. In particular, we investigate how to build a digital twin for processes that evolve over time as well as space. The digital twin is built on the basis of a) a modular modelling framework, b) a scalable computational tool and c) relevant usage of data. This presentation demonstrates how fundamental research on systems and control can be bridged with the development of a digital twin that can be applied to a commercial assent and improve its performance.

This talk is part of the CUED Control Group Seminars series.

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