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Automatic Control of Anaesthesia

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

MPC for Propofol Anesthesia: the Noise Issue (opens in new window)

Author(s): Andrzej Pawlowski, Michele Schiavo, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli
Published in: Proceedings of 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022
Publisher: IEEE
DOI: 10.1109/ccta49430.2022.9966102

Experimental results of an MPC strategy for total intravenous anesthesia (opens in new window)

Author(s): Andrzej Pawlowski, Michele Schiavo, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli
Published in: IEEE Access, Issue 11, 2023, Page(s) 32743 – 32751, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3263787

Linear MPC for anesthesia process with external predictor (opens in new window)

Author(s): Andrzej Pawlowski, Michele Schiavo, Nicola Latronico, Massimiliano Paltenghi, AntonioVisioli
Published in: Computers & Chemical Engineering, 2022, ISSN 0098-1354
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2022.107747

Event-based MPC for propofol administration in anesthesia (opens in new window)

Author(s): Andrzej Pawlowski, Michele Schiavo, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli
Published in: Computer Methods and Programs in Biomedicine, Issue Volume 229, February 2023, 107289, 2023, ISSN 0169-2607
Publisher: Elsevier BV
DOI: 10.1016/j.cmpb.2022.107289

Model predictive control using MISO approach for drug co-administration in anesthesia (opens in new window)

Author(s): Andrzej Pawlowski, Michele Schiavo, Nicola Latronico, Massimiliano Paltenghi, Antonio Visioli
Published in: Journal of Process Control, Issue 117(2), 2022, Page(s) 98-111, ISSN 0959-1524
Publisher: Butterworth Scientific Ltd.
DOI: 10.1016/j.jprocont.2022.07.007

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