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Linköping Center for Sensor Informatics and Control (LINK-SIC)

Reference number
Coordinator Linköpings universitet - Institutionen för systemteknik
Funding from Vinnova SEK 36 000 000
Project duration September 2017 - June 2024
Status Ongoing
Venture Competence centre

Purpose and goal

The vision for LINK-SIC is to be an attractive and internationally competitive arena for industry-oriented research of high scientific quality within sensor informatics and control. The vision is also to contribute to development of Swedish system-building industry, which is crucial for the growth and economical sustainability of the country. Sweden has a number of successful companies competing on the global market, and LINK-SIC will encompass several of the largest of these companies together with a number of small and medium-size enterprises.

Expected results and effects

The Center´s activities are expected to result in commercially viable results across a wide range of product areas and provide impact in terms of delivering new features, improved performance and durability, availability and security as well as reduced costs. Results of high scientific quality and industry relevance can be addressed by industry partners during the project or through the transfer of skills through recruitment of graduates with knowledge and skills that are central to Swedish system building industry.

Planned approach and implementation

The core scientific disciplines of LINK-SIC are: Sensor fusion, Data-driven modelling, Learning methods for control, Control-oriented physical modeling, and Optimization for control applications, and they will be crucial for dealing with the challenges of the system-building industry. The key elements of the research will be a set of PhD student projects, including industrial PhD students, with high involvement of industrial in-kind and senior academic staff.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 31 October 2022

Reference number 2016-05152

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