Hybrid multiparametric model predictive control with application to the neuromuscular blockade

This paper presents a framework for the development of hybrid multiparametric model predictive controller for biomedical systems that are described using the Hill model. The framework is tested for the process of neuromuscular blockade. Based on a detailed mathematical model, the hybrid control stra...

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Bibliographic Details
Published in2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) pp. 1 - 6
Main Authors Nascu, Ioana, Pistikopoulos, Efstratios, Nascu, Ioan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2018
Subjects
Biological system modeling
Control systems
Data models
Drugs
explicit/multiparametric model predictive control
hybrid systems
inter- and intra-patient variability
Mathematical model
Neuromuscular
neuromuscular blockade
nonlinearity
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Summary:This paper presents a framework for the development of hybrid multiparametric model predictive controller for biomedical systems that are described using the Hill model. The framework is tested for the process of neuromuscular blockade. Based on a detailed mathematical model, the hybrid control strategy is designed, tested and evaluated in a comparative manner with the nominal mp-MPC. To test the performances of the controllers, a set of 8 patients is used in the induction phase and analyzed. The results of the simulations show improved performances by using the hybrid strategy.
DOI:10.1109/AQTR.2018.8402747