Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
Based at Harvard University, the Doyle group is comprised of a diverse group of researchers, coming from backgrounds such as computer science, biology, and chemical engineering. Contact us to inquire about open positions.
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.
Body Mass Index Effect on Differing Responses to Psychological Stress in Blood Glucose Dynamics in Patients With Type 1 Diabetes
Basak Ozaslan, Stephen D. Patek, Jesse H. Grabman, Jaclyn A. Shepard, Eyal Dassau, Marc D. Breton, Yogish C. Kudva, Sue A. Brown, Ananda Basu, Jordan E. Pinsker, Francis J. Doyle, III, Linda Gonder-Frederick. Journal of Diabetes Science and Technology. 2018.
Glucose Sensor Dynamics and the Artificial Pancreas: The Impact of Lag on Sensor Measurement and Controller Performance
Lauren M. Huyett, Eyal Dassau, Howard C. Zisser, and Francis J. Doyle, III. IEEE Control Systems Magazine. February 2018: 30-46.