特別講演

CSS President 特別講演

「Model Predictive Control of the Artificial Pancreas」

日時

3月7日(月)  14:40~15:40

場所

フラッテンホール

講師

Prof_FJD

Francis J. Doyle III(School of Engineering and Applied Sciences, Harvard University, United States of America)

概要

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease affecting approximately 35 million individuals world-wide, with associated annual healthcare costs in the US estimated to be approximately $15 billion. Current treatment requires either multiple daily insulin injections or continuous subcutaneous (SC) insulin infusion (CSII) delivered via an insulin infusion pump. Both treatment modes necessitate frequent blood glucose measurements to determine the daily insulin requirements for maintaining near-normal blood glucose levels.
More than 30 years ago, the idea of an artificial endocrine pancreas for patients with type 1 diabetes mellitus (T1DM) was envisioned. The closed-loop concept consisted of an insulin syringe, a blood glucose analyzer, and a transmitter. In the ensuing years, a number of theoretical research studies were performed with numerical simulations to demonstrate the relevance of advanced process control design to the artificial pancreas, with delivery algorithms ranging from simple PID, to H-infinity, to model predictive control. With the advent of continuous glucose sensing, which reports interstitial glucose concentrations approximately every minute, and the development of hardware and algorithms to communicate with and control insulin pumps, the vision of closed-loop control of blood glucose is approaching a reality.
In the last 10 years, our research group has been working with medical doctors on clinical demonstrations of model predictive control algorithms for the artificial pancreas. In this talk, I will outline the difficulties inherent in controlling physiological variables, the challenges with regulatory approval of such devices, and will describe a number of control systems engineering algorithms we have tested in clinical experiments, including outpatient studies, for the artificial pancreas.

講師略歴

Frank Doyle is the John A. Paulson Dean of the Paulson School of Engineering and Applied Sciences at Harvard University, where he also is the John A. & Elizabeth S. Armstrong Professor. Prior to that he was the Mellichamp Professor at UC Santa Barbara, where he was the Chair of the Department of Chemical Engineering, the Director of the UCSB/MIT/Caltech Institute for Collaborative Biotechnologies, and the Associate Dean for Research in the College of Engineering. He received a B.S.E. degree from Princeton, C.P.G.S. from Cambridge, and Ph.D. from Caltech, all in Chemical Engineering. He has also held faculty appointments at Purdue University and the University of Delaware, and held visiting positions at DuPont, Weyerhaeuser, and Stuttgart University. He has been recognized as a Fellow of multiple professional organizations including: IEEE, IFAC, AIMBE, and the AAAS. He is the President for the IEEE Control Systems Society, and is the Vice President of the International Federation of Automatic Control. In 2005, he was awarded the Computing in Chemical Engineering Award from the AIChE for his innovative work in systems biology, and in 2015 received the Control Engineering Practice Award from the American Automatic Control Council for his development of the artificial pancreas. His research interests are in systems biology, network science, modeling and analysis of circadian rhythms, and drug delivery for diabetes.

 


特別講演

凸でない目的関数を持つ最適配置問題の解法-Big Triangle Small Triangle 法」

日時

3月8日(火)  16:40~17:20

場所

フラッテンホール

講師

鈴木 敦夫 君(南山大学理工学部数理システム学科)

概要

2次元・3次元の非凸の目的関数を持つ連続型配置問題の大域的最適解を求める方法を紹介する。2次元の問題に対するBig Square and Small Square(BSSS)法は1985年にP. Hansenによって提案された。その後、われわれの研究グループが2004年にBig Triangle and Small Triangle(BTST)法を提案して以来、さまざまな配置問題へ適用されつつある。2010年にBSSS法の多次元への拡張であるBig Cube and Small Cube(BCSC)法がA. Schöbelによって提案された。それに対して、われわれは、3次元の問題に対して、Big Tetrahedron and Small Tetrahedron(BTeSTe)法を提案している。これらの手法は、いずれも、解が存在する空間を分割し、解が存在する空間を狭めていく手法である。これらの手法の長所・短所を解説し、これらの手法をうまく適用すれば、実用的な計算時間で大域的最適解を求めることができることを示す。

講師略歴

鈴木 敦夫(すずき あつお)君

専攻分野はオペレーションズ・リサーチ。1983年3月東京大学大学院工学研究科修士課程修了後、東京大学で1988年12月博士(工学)取得。東京大学工学部計数工学科助手、南山大学経営学部情報管理学科講師を経て、2000年4月南山大学数理情報学部数理科学科教授、2008年4月から2013年まで南山大学情報理工学部、学部長。2014年から副学長。主な著書は「最適配置の数理」(朝倉書店)、2005年4月Franz Edelman Finalist賞(INFORMS)、2007年日本オペレーションズ・リサーチ学会 実施賞(日本OR学会)、2009年、2014年日本オペレーションズ・リサーチ学会 事例研究賞(日本OR学会)、2015年スケジューリング学会技術賞(スケジューリング学会)。