Publications

Getting IoT-ready: The face of next generation artificial pancreas systems

A. Chakrabarty, S. Zavitsanou, T. Sowrirajan, F. J. Doyle III, and E. Dassau. “Getting IoT-ready: The face of next generation artificial pancreas systems.” in The Artificial Pancreas: Current Situation and Future Directions, R. S. Sanchez-Pena and D. R. Chernavvsky, Editors, Elsevier, 2019.

A new animal model of insulin-glucose dynamics in the intraperitoneal space enhances closed-loop control performance

A. Chakrabarty, J. M. Gregory, L. M. Moore, P. E. Williams, B. Farmer, A. D. Cherrington, P. Lord, B. Shelton, D. Cohen, H. C. Zisser, F. J. Doyle III, & E. Dassau.  Journal of Process Control. 2019.

Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control

J. H. Abel, A. Chakrabarty, E. B. Klerman, F. J. Doyle III.  Automatica. 2019.

Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators

J. H. Abel, A. Chakrabarty, and F. J. Doyle III. “Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators.” in Emerging Applications of Control and Systems Theory, R. Tempo, S. Yurkovich, and P. Misra, Editors, Springer, 2018.

Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems

A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, “Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems.” Preprint available, IEEE Trans. Biomedical Engineering, May 2017.

Intraperitoneal Insulin Delivery Provides Superior Glycemic Regulation to Subcutaneous Insulin Delivery in Model Predictive Control‐based Fully‐automated Artificial Pancreas in Patients with Type 1 Diabetes: A Pilot Study

Dassau, E., Renard, E., Place, J., Farret, A., Pelletier, M.J., Lee, J., Huyett, L.M., Chakrabarty, A., Doyle III, F.J. and Zisser, H.C. “Intraperitoneal Insulin Delivery Provides Superior Glycemic Regulation to Subcutaneous Insulin Delivery in Model Predictive Control‐based Fully‐automated Artificial Pancreas in Patients with Type 1 Diabetes: A Pilot Study.” Diabetes, Obesity and Metabolism, 2017. doi: 10.1111/dom.12999

Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas

S. Zavitsanou, A. Chakrabarty, E. Dassau, and F.J. Doyle III. “Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas.” Processes 4(4), 35, 2016. doi:10.3390/pr4040035

Lab News

Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems

Check out our most recent publication, regarding a power-efficient algorithm for implementing the artificial pancreas on a chip!

See the preprint here.