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Author Feng, Le ♦ Gutvik, Christian R. ♦ Johansen, Tor A.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Multi-parametric Nonlinear Programming ♦ Optimal Decompression ♦ Copernicus Model ♦ Explicit Solution ♦ Nonlinear Model Predictive Control Approach ♦ Venous Gas Embolus ♦ Comprehensive Dynamic Mathematical Model ♦ Typical Low-cost Diving Computer ♦ Vascular Bubble Formation ♦ Severe Decompression Sickness
Abstract Abstract: Recently, a comprehensive dynamic mathematical model named Copernicus has been established to discover the mechanism of the vascular bubble formation and growth during and after decompression from a dive. The model uses Venous Gas Emboli (VGE)as a measurement and connects it to the risk of severe Decompression Sickness (DCS). Being validated by a series of diving tests, Copernicus model is believed to be suitable and efficient to predict DCS hence generate optimal decompression profiles for the divers. This paper is based on the Copernicus model and presents a nonlinear model predictive control approach, where multi-parametric nonlinear programming is used to construct an explicit solution for the ease of implementation on a typical low-cost diving computer.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article