The Centre for Intelligent Autonomous Manufacturing Systems at Queen’s University Belfast hosted the 5th IFAC conference on Intelligent Control and Automation Sciences (ICONS 2019) 21 -23 August 2019
The IFAC  conference, which was sponsored by it's Computational Intelligence and Control Technical Committee (TC3.2), had as it's theme Intelligent Control and Automation Sciences (ICONS 2019). Scientists, researchers, and practitioners had an opportunity to exchange knowledge and perspectives in the field of intelligent control, automation science, engineering, and its integration into industry and society.
The conference was opened on the 21st August by IFAC President, Professor Frank Allgöwer, University of Stuttgart, who addressed;
This was followed by a rich three day programme when key topics were explored through plenary talks and technical presentations.
The delegates benefited from plenary talks by:-
The technical programme included the presentation of 46 papers, which covered the latest research in areas such as:-
The winner was Mert Ergurtuna, Middle East Technical University, Turkey, with a paper entitled;
‘An Efficient Formula Synthesis Method with past Signal Temporal Logic’.
The runner-up was Christopher Reinartz, Technical University of Denmark with a paper entitled;
‘Generation of Signed Directed Graphs Using Functional Models’.
Professor Seán McLoone, Conference General Chair, wishes to thank the many volunteers who assisted with conference logistics, and all the conference sponsors, which included Visit Belfast, Belfast City Council, Mathworks, Elsevier, and the Centre for Intelligent Autonomous Manufacturing Systems (i-AMS) at Queen’s University Belfast.
 International Federation of Automatic Control. Available at <https://www.ifac-control.org/>
 IFAC, TC 3.2. Computational Intelligence in Control. Available at <https://tc.ifac-control.org/3/2>
 5th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2019). Available at <http://www.qub.ac.uk/icons2019/>
 Centre for Intelligent Autonomous Manufacturing Systems. Available at <https://www.qub.ac.uk/sites/iams/>
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