文章基本信息

标题：Tackling problem nonlinearities & delays via asymmetric, state-dependent objective costs in MPC of an artificial pancreas
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作者：Ravi Gondhalekar ; Eyal Dassau ; Francis J. Doyle III 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：23
页码：154-159
DOI：10.1016/j.ifacol.2015.11.276
语种：English
出版社：Elsevier
摘要：AbstractThe design of a Model Predictive Control (MPC) law for an Artificial Pancreas (AP) that automatically delivers insulin to people with type 1 diabetes mellitus is considered. An MPC law was recently proposed that exploits the simplicity of linear dynamical models, but is in two ways a ‘nonlinear‘ departure of standard linear MPC, while circumnavigating the complexity of cumbersome, fully nonlinear MPC approaches. The first of two issues focused on is the nonlinearity of the control problem, and it is demonstrated how this can be tackled via asymmetric objective functions. The second issue is controller induced hypoglycemia resulting from the large delay in actuation and sensing. The proposed MPC strategy employs an asymmetric, state-dependent objective function that leads to a nonlinear optimization problem. The result is an AP controller with significantly elevated safety and comparable control performance. The contribution of this paper is a detailed in-silico analysis of the proposed control law, and a clinical demonstration of the benefits of asymmetric objective functions.
关键词：KeywordsModel predictive controlasymmetric objective coststate-dependent objective costnonlinear optimizationsafety critical controlartificial pancreastype 1 diabetes