Publications

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: […]
Feasibility of long-term closed-loop control: a multicenter 6-month trial of 24/7 automated insulin delivery
Kovatchev, B., Cheng, P., Anderson, S.M., Pinsker, J.E., Boscari, F., Buckingham, B.A., Doyle III, F.J., Hood, K.K., Brown, S.A., Breton, M.D. and Chernavvsky, D. “Feasibility of long-term closed-loop control: a multicenter 6-month trial of 24/7 automated insulin delivery.” Diabetes Technology & Therapeutics, vol. 19, no. 1, 2017.
An Enhanced Model Predictive Control for the Artificial Pancreas Using a Confidence Index Based on Residual Analysis of Past Predictions
A.J. Laguna-Sanz, F.J. Doyle III, and E. Dassau. “An Enhanced Model Predictive Control for the Artificial Pancreas Using a Confidence Index Based on Residual Analysis of Past Predictions.” Journal of Diabetes Science and Technology, 2016. doi: 10.1177/1932296816680632
A systems theoretic approach to analysis and control of mammalian circadian dynamics
J.H. Abel and F.J. Doyle III. “A systems theoretic approach to analysis and control of mammalian circadian dynamics.” Chemical Engineering Research and Design, 2016. doi:10.1016/j.cherd.2016.09.033
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
Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.
R. Gondhalekar, E. Dassau, and F.J. Doyle III. “Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.” Automatica 71: 237-246, 2016. doi:10.1016/j.automatica.2016.04.015
Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report.
D.M. Maahs, B.A. Buckingham, J.R. Castle, A. Cinar, E.R. Damiano, E. Dassau, J.H. DeVries, F.J. Doyle III, S.C. Griffen, A. Haidar, L. Heinemann, R. Hovorka, T.W. Jones, C. Kollman, B. Kovatchev, B.L. Levy, R. Nimri, D.N. O’Neal, M. Philip, E. Renard, S.J. Russell, S.A. Weinzimer, H. Zisser, J.W. Lum. Diabetes Care. 39(7):1175-9, 2016. doi: 10.2337/dc15-2716. […]
Preliminary Evaluation of a Long-Term Intraperitoneal Glucose Sensor With Flushing Mechanism.
L.M. Huyett, R. Mittal, H.C. Zisser, E.S. Luxon, A. Yee, E. Dassau, F.J. Doyle III, D.R. Burnett. J Diabetes Sci Technol. 2016. doi:10.1177/1932296816640542
Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.
J.E. Pinsker, J.B. Lee, E. Dassau, D.E. Seborg, P.K. Bradley, R. Gondhalekar, W.C. Bevier, L. Huyett, H.C. Zisser, F.J. Doyle III. Diabetes Care, 39(7): 1135-42, 2016. doi: 10.2337/dc15-2344.
Functional network inference of the suprachiasmatic nucleus
J.H. Abel, K. Meeker, D. Granados-Fuentes, P.C. St. John, T.J. Wang, B.B. Bales, F.J. Doyle III, E.D. Herzog, L.R. Petzold. “Functional network inference of the suprachiasmatic nucleus.” Proceedings of the National Academy of Sciences of the United States of America, 113(16), 2016. doi:10.1073/pnas.1521178113
Adjustment of open-loop settings to improve closed-loop results in type 1 diabetes: a multicenter randomized trial
E. Dassau, S.A. Brown, A. Basu, J.E. Pinsker, Y.C. Kudva, R. Gondhalekar, S. Patek, D. Lv, M. Schiavon, J.B. Lee, C.D. Man, L. Hinshaw, K. Castorino, A. Mallad, V. Dadlani, S.K. McCrady-Spitzer, M. McElwee-Malloy, C.A. Wakeman, W.C. Bevier, P.K. Bradley, B. Kovatchev, C. Cobelli, H.C. Zisser, F.J. Doyle III, “Adjustment of open-loop settings to improve […]
A Coupled Stochastic Model Explains Differences in Cry Knockout Behavior
J.H. Abel, L.A. Widmer, P.C. St. John, J. Stelling, and F.J. Doyle III, ” A Coupled Stochastic Model Explains Differences in Cry Knockout Behavior.” IEEE Life Sciences Letters, Jun 2015. doi:10.1109/LLS.2015.2439498
Quantifying Stochastic Noise in Cultured Circadian Reporter Cells.
St John PC, Doyle FJ III. PLoS Comput Biol. 2015 Nov 20;11(11):e1004451. doi: 10.1371/journal.pcbi.1004451.
Systems biology approach to understanding post-traumatic stress disorder
G.S. Thakur, B.J. Daigle Jr, K.R. Dean, Y. Zhang, M. Rodriguez-Fernandez, R. Hammamieh, R. Yang, M. Jett, J. Palma, L.R. Petzold, F.J. Doyle III, “Systems biology approach to understanding post-traumatic stress disorder,” Molecular bioSystems, Jan 2015. [DOI]
Amplitude metrics for cellular circadian bioluminescence reporters
P.C. St John, S.R. Taylor, J.H. Abel, F.J. Doyle III, “Amplitude metrics for cellular circadian bioluminescence reporters,” Biophysical Journal, vol. 107, no. 11, pp. 2712-22,Dec 2014. [DOI]
Closed-loop artificial pancreas systems: engineering the algorithms
F.J. Doyle III, L. M. Huyett, J. B. Lee, H. C. Zisser, E. Dassau , “Closed- Loop Artificial Pancreas Systems: Engineering the Algorithms,” Diabetes Care, May 2014. [DOI]
Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitus
A. Srinivasan, J.B. Lee, E. Dassau, F.J. Doyle III, “Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 8, no. 5, pp. 957-68,Sep 2014. [DOI]
Glucose sensing in the peritoneal space offers faster kinetics than sensing in the subcutaneous space
D.R. Burnett, L.M. Huyett, H.C. Zisser, F.J. Doyle III, B.D. Mensh, “Glucose sensing in the peritoneal space offers faster kinetics than sensing in the subcutaneous space,” Diabetes, vol. 63, no. 7, pp. 2498-505,Jul 2014. [DOI]
Spatiotemporal separation of PER and CRY posttranslational regulation in the mammalian circadian clock
P.C. St John, T. Hirota, S.A. Kay, F.J. Doyle III, “Spatiotemporal separation of PER and CRY posttranslational regulation in the mammalian circadian clock,” Proceedings of the National Academy of Sciences of the United States of America, Jan 2014. [DOI]
Note: Parameter-independent bounding of the stochastic Michaelis-Menten steady-state intrinsic noise variance
L.A. Widmer, J. Stelling, F.J. Doyle III, “Note: Parameter-independent bounding of the stochastic Michaelis-Menten steady-state intrinsic noise variance,” The Journal of Chemical Physics, vol. 139, no. 16, pp. 166102, Oct 2013. [DOI]
Modeling the Intra- and Extracellular Cytokine Signaling Pathway under Heat Stroke in the Liver
M. Rodriguez-Fernandez, B. Grosman, T.M. Yuraszeck, B.G. Helwig, L.R. Leon, F.J. Doyle III, M. Wang, “Modeling the Intra- and Extracellular Cytokine Signaling Pathway under Heat Stroke in the Liver,” PLoS ONE, vol. 8, no. 9, pp. e73393, 2013. [DOI]
Statistical analysis of the pulse-coupled synchronization strategy for wireless sensor networks
Y. Q. Wang, F. Nunez, F. J. Doyle III. Statistical analysis of the pulse-coupled synchronization strategy for wireless sensor networks.  IEEE Transactions on Signal Processing,  In press. [DOI]
Intercellular delay regulates the collective period of repressively coupled gene regulatory oscillator networks
Y. Q. Wang, Y. Hori, S. Hara, F. J. Doyle III. Intercellular delay regulates the collective period of repressively coupled gene regulatory oscillator networks. IEEE Transactions on Automatic Control, In press. [DOI]
Estimating confidence intervals in predicted responses for oscillatory biological models
P.C. St John, F.J. Doyle III, “Estimating confidence intervals in predicted responses for oscillatory biological models,” BMC Systems Biology, vol. 7, no. 1, pp. 71, Jul 2013. [DOI]
Model-Based Personalization Scheme of an Artificial Pancreas for Type 1 Diabetes Applications
J. B. Lee, E. Dassau, D. Seborg, F.J. Doyle III, “Model-Based Personalization Scheme of an Artificial Pancreas for Type 1 Diabetes Applications,” Proceedings of the American Controls Conference 2013.
Increasing sync rate of pulse-coupled oscillators via phase response function design: theory and application to wireless networks
Y. Q. Wang, F. Nunez, F. J. Doyle III, “Increasing sync rate of pulse-coupled oscillators via phase response function design: theory and application to wireless networks,” IEEE Transactions on Control Systems Technology. (in press) [DOI]
The influence of global and local cues on the rate of synchronization in the presence of time delays
Y. Q. Wang, F. J. Doyle III. “The influence of global and local cues on the rate of synchronization in the presence of time delays,” Automatica, (in press) [DOI]
Exponential synchronization rate of Kuramoto oscillators in the presence of a pacemaker
Y. Q. Wang, F. J. Doyle III. Exponential synchronization rate of Kuramoto oscillators in the presence of a pacemaker. IEEE Transactions on Automatic Control, 58(4)9889-994, 2013 [DOI]
Clinical evaluation of a personalized artificial pancreas
E. Dassau, H. Zisser, R.A. Harvey, M.W. Percival, B. Grosman, W. Bevier, E. Atlas, S. Miller, R. Nimri, L. Jovanovic, F.J. Doyle III “Clinical evaluation of a personalized artificial pancreas,” Diabetes Care, vol. 36, no. 4, pp. 801-9, Apr 2013. [DOI]
In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control
J.J. Lee, E. Dassau, H. Zisser, R.A. Harvey, L. Jovanovič, F.J. Doyle III “In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control,” Journal of Diabetes Science and Technology, vol. 7, no. 1, pp. 215-26, January 2013. [PMID]
Computational modeling of glucose transport in pancreatic β-cells identifies metabolic thresholds and therapeutic targets in diabetes
C. Luni, J.D. Marth, F.J. Doyle III, “Computational modeling of glucose transport in pancreatic β-cells identifies metabolic thresholds and therapeutic targets in diabetes,” PloS One, vol. 7, no. 12, pp. e53130, December 2012. [DOI]
Design of the health monitoring system for the artificial pancreas: low glucose prediction module
R.A. Harvey, E. Dassau, H. Zisser, D.E. Seborg, L. Jovanovič, F.J. Doyle III “Design of the health monitoring system for the artificial pancreas: low glucose prediction module,” Journal of Diabetes Science and Technology, vol. 6, no. 6, pp. 1345-54, November 2012. [PMID]
Optimal phase response functions for fast pulse-coupled synchronization in wireless sensor networks
Y. Q. Wang, F. J. Doyle III. “Optimal phase response functions for fast pulse-coupled synchronization in wireless sensor networks,” IEEE Transactions on Signal Processing. vol. 60, no. 10, 2012, pp. 5583–5588, October 2012. [DOI]
Energy-efficient pulse-coupled synchronization strategy design for wireless sensor networks through reduced idle listening
Y. Q. Wang, F. Nunez, F. J. Doyle III. “Energy-efficient pulse-coupled synchronization strategy design for wireless sensor networks through reduced idle listening,” IEEE Transactions on Signal Processing, vol. 60, no. 10, 2012, pp. 5293–5306, October 2012. [DOI]
Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia
M. Breton, A. Farret, D. Bruttomesso, S. Anderson, L. Magni, S. Patek, C. Dalla Man, J. Place, S. Demartini, S. Del Favero, C. Toffanin, C. Hughes-Karvetski, E. Dassau, H. Zisser, F.J. Doyle III, G. De Nicolao, A. Avogaro, C. Cobelli, E. Renard, B. Kovatchev, International Artificial Pancreas Study Group, “Fully integrated artificial pancreas in type […]
Pilot studies of wearable outpatient artificial pancreas in type 1 diabetes
C. Cobelli, E. Renard, B.P. Kovatchev, P. Keith-Hynes, N. Ben Brahim, J. Place, S. Del Favero, M. Breton, A. Farret, D. Bruttomesso, E. Dassau, H. Zisser, F.J. Doyle III, S.D. Patek, A. Avogaro, “Pilot studies of wearable outpatient artificial pancreas in type 1 diabetes,” Diabetes Care, vol. 35, no. 9, pp. e65-7, Sep 2012. [DOI]
Clinically relevant hypoglycemia prediction metrics for event mitigation
R.A. Harvey, E. Dassau, H.C. Zisser, W. Bevier, D.E. Seborg, L. Jovanovič, F.J. Doyle III “Clinically relevant hypoglycemia prediction metrics for event mitigation,” Diabetes Technology & Therapeutics, vol. 14, no. 8, pp. 719-27, Aug 2012. [DOI]
A Detailed Modular Analysis of Heat-Shock Protein Dynamics under Acute and Chronic Stress and its Implication in Anxiety Disorders
K. Sriram, M. Rodriguez-Fernandez, F.J. Doyle III, “A Detailed Modular Analysis of Heat-Shock Protein Dynamics under Acute and Chronic Stress and its Implication in Anxiety Disorders”, PLoS ONE, vol. 7, no. 8, e42958, August 2012. [DOI]
Identification of small molecule activators of cryptochrome
T. Hirota, J.W. Lee, P.C St. John, M. Sawa, K. Iwaisako, T. Noguchi, P.Y. Pongsawakul, T. Sontag, D.K. Welsh, D.A. Brenner, F.J. Doyle III, P.G. Schultz, S.A. Kay, “Identification of small molecule activators of cryptochrome,” Science, vol. 337, no. 6098, pp. 1094-1097, July 2012. [DOI]
Control-relevant models for glucose control using a priori patient characteristics
K. van Heusden, E. Dassau, H.C. Zisser, D.E. Seborg, F.J. Doyle III, “Control-relevant models for glucose control using a priori patient characteristics,” IEEE Transactions on Bio-medical Engineering, vol. 59, no. 7, pp. 1839-49, Jul 2012. [DOI]
Novel global sensitivity analysis methodology accounting for the crucial role of the distribution of input parameters: application to systems biology models
M. Rodriguez-Fernandez, J.R. Banga, F.J. Doyle III, “Novel global sensitivity analysis methodology accounting for the crucial role of the distribution of input parameters: application to systems biology models”, International Journal of Robust and Nonlinear Control, vol. 22, no. 10, pp. 1082–1102, July 2012. [DOI]
Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus
C. Zhao, E. Dassau, L. Jovanovič, H.C. Zisser, F.J. Doyle III, D.E. Seborg, “Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 6, no. 3, pp. 617-33, May 2012. [PMID]
Modeling Cortisol Dynamics in the Neuro-endocrine Axis Distinguishes Normal, Depression, and Post-traumatic Stress Disorder (PTSD) in Humans
K. Sriram, M. Rodriguez-Fernandez, F.J. Doyle III, “Modeling Cortisol Dynamics in the Neuro-endocrine Axis Distinguishes Normal, Depression, and Post-traumatic Stress Disorder (PTSD) in Humans”, PLoS Computational Biology, vol. 8, no. 2, e1002379, February 2012. [DOI]
Robust multi-drug therapy design and application to insulin resistance in type 2 diabetes
C. Luni, F.J. Doyle III “Robust multi-drug therapy design and application to insulin resistance in type 2 diabetes,” International Journal of Robust and Nonlinear Control, vol.21, pp.1730–1741, October 2011. [DOI]
Effects of light dynamics on coral spawning synchrony
C.A. Boch, B. Ananthasubramaniam, A. Sweeney, F.J. Doyle III, D.E. Morse “Effects of light dynamics on coral spawning synchrony,” Biological Bulletin, vol. 220, pp. 161–173, June 2011. [DOI]
On influences of global and local cues on the rate of synchronization of oscillator networks
Y.Q. Wang, F.J. Doyle III “On influences of global and local cues on the rate of synchronization of oscillator networks,” Automatica, vol. 47, no. 6, June 2011. [DOI]
Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters
M.W. Percival, Y. Wang, B. Grosman, E. Dassau, H. Zisser, L. Jovanovič, F.J. Doyle III, “Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters,” Journal of Process Control, vol. 21, no. 3, pp. 391-404, Mar 2011. [DOI]
Integrate-and-fire models of insolation-driven entrainment of broadcast spawning in corals
B. Ananthasubramaniam, R.M. Nisbet, D.E. Morse, F.J. Doyle III, “Integrate-and-fire models of insolation-driven entrainment of broadcast spawning in corals ,” Theoretical Ecology, vol. 4, no. 1, pp. 69–85, February 2011. [DOI]
Distribution-based sensitivity metric for highly variable biochemical systems
H.P. Mirsky, S.R. Taylor, R.A. Harvey, J. Stelling, F.J. Doyle III “Distribution-based sensitivity metric for highly variable biochemical systems,” IET Systems Biology, vol. 5, no. 1, pp. 50, Jan 2011. [DOI]
Vulnerabilities in the Tau Network and the Role of Ultrasensitive Points in Tau Pathophysiology
T.M Yuraszeck, P. Neveu, M. Rodriguez, A. Robinson, K.S. Kosik, F.J. Doyle III “Vulnerabilities in the Tau Network and the Role of Ultrasensitive Points in Tau Pathophysiology,” PLoS Comput Biol, vol. 6, no. 11, November 2010. [DOI]
Confidence from uncertainty – A multi-target drug screening method from robust control theory
C. Luni, J.E. Shoemaker, K.R. Sanft, L.R. Petzold, F.J. Doyle III, “Confidence from uncertainty – A multi-target drug screening method from robust control theory,” BMC Systems Biology, vol. 4, no. 1, pp. 161, November 2010. [DOI]
Cell population modeling describes intrinsic heterogeneity: hematopoietic stem cells, a case study
C. Luni, F.J. Doyle III, N. Elvassore, “Cell population modeling describes intrinsic heterogeneity: hematopoietic stem cells, a case study,” IET Systems Biology, vol. 4, no. 161, November 2010. [DOI]
Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell
Y. Wang, E. Dassau, H. Zisser, L. Jovanovič, F.J. Doyle III, “Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell,” Diabetes Technology & Therapeutics, vol. 12, no. 11, pp. 879-87, Nov 2010. [DOI]
Quest for the artificial pancreas: combining technology with treatment
R.A. Harvey, Y. Wang, B. Grosman, M.W. Percival, W. Bevier, D.A. Finan, H. Zisser, D.E. Seborg, L. Jovanovic, F.J. Doyle III, E. Dassau “Quest for the artificial pancreas: combining technology with treatment,” IEEE Engineering in Medicine and Biology Magazine : The Quarterly Magazine of the Engineering in Medicine & Biology Society, vol. 29, no. 2, […]
Zone-Model Predictive Control: A Strategy to Minimize Hyper- and Hypo-glycemic Events
B. Grosman, E. Dassau, H. Zisser, L. Jovanovic, F.J. Doyle III, “Zone-Model Predictive Control: A Strategy to Minimize Hyper- and Hypo-glycemic Events,” J Diabetes Sci Technol, vol. 4, no. 4, pp. 961–975, July 2010. [DOI]
An advisory protocol for rapid- and slow-acting insulin therapy based on a run-to-run methodology
F. Campos-Cornejo, D.U. Campos-Delgado, D. Espinoza-Trejo, H. Zisser, L. Jovanovic, F.J. Doyle III, E. Dassau, “An advisory protocol for rapid- and slow-acting insulin therapy based on a run-to-run methodology,” Diabetes Technology & Therapeutics, vol. 12, no. 7, pp. 555-65, Jul 2010. [DOI]
Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events
B. Grosman, E. Dassau, H.C. Zisser, L. Jovanovic, F.J. Doyle III, “Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events,” Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 961-75, Jul 2010. [PMID]
Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor
R. Mauseth, Y. Wang, E. Dassau, R. Kircher Jr, D. Matheson, H. Zisser, L. Jovanovic, F.J. Doyle III, “Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor,” Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 913-22, Jul 2010. [PMID]
Fathead Minnow Steroidogenesis: in silico Analyses Reveals Tradeoffs Between Nominal Target Efficacy and Robustness to Cross-talk
J.E. Shoemaker, K. Gayen, N. Garcia-Reyero, E.J. Perkins, D.L. Villeneuve, L. Liu, F.J. Doyle III, “Fathead Minnow Steroidogenesis: in silico Analyses Reveals Tradeoffs Between Nominal Target Efficacy and Robustness to Cross-talk,” BMC Systems Biology, June 2010.[DOI]
Real-Time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas
E. Dassau, F. Cameron, H. Lee, B.W. Bequette, H. Zisser, L. Jovanovic, H.P. Chase, D.M. Wilson, B.A. Buckingham, F.J. Doyle III, “Real-Time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas,” Diabetes Care, vol. 33, no. 6, pp. 1013–1017, June 2010. [DOI]
Model Predictive Control with Learning-Type Set-point:Application to Artificial Pancreatic β-Cell
Y. Wang, H. Zisser, E. Dassau, L. Jovanovic, F.J. Doyle III, “Model Predictive Control with Learning-Type Set-point:Application to Artificial Pancreatic β-Cell ,” AIChE Journal, vol. 56, no. 6, pp. 1510–1518, June 2010.[DOI]
Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension
B.A. Buckingham, H.P. Chase, E. Dassau, E. Corby, P. Clinton, V. Gage, K. Caswell, J. Wilkinson, F. Cameron, H. Lee, B.W. Bequette, F.J. Doyle III, “Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension,” Diabetes Care, vol. 33, no. 5, pp. 1013–1017, May 2010.[DOI]
Velocity Response Curves Support the Role of Continuous Entrainment in Circadian Clocks
S.R. Taylor, A.B. Webb, K.S. Smith, L.R. Petzold, F.J. Doyle III, “Velocity Response Curves Support the Role of Continuous Entrainment in Circadian Clocks,” J Biol Rhythms, vol. 25, no. 2, pp. 138–149, April 2010.[DOI]
Closed-Loop Control of Artificial Pancreatic β-Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control
Y. Wang, E. Dassau, F.J. Doyle III, “Closed-Loop Control of Artificial Pancreatic β-Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control,” Biomedical Engineering, IEEE Transactions on, vol. 57, no. 2, pp. 211–219, February 2010.[DOI]
Survey on Iterative Learning Control, Repetitive Control, and Run-to-Run Control
Y. Wang, F. Gao, F.J. Doyle III, “Survey on Iterative Learning Control, Repetitive Control, and Run-to-Run Control,” J Proc Cont, vol. 19, no. 10, pp. 1589–1600, December 2009.[DOI]
Enhanced 911/global position system wizard: a telemedicine application for the prevention of severe hypoglycemia–monitor, alert, and locate
E. Dassau, L. Jovanovic, F.J. Doyle III, H.C. Zisser, “Enhanced 911/global position system wizard: a telemedicine application for the prevention of severe hypoglycemia–monitor, alert, and locate,” Journal of Diabetes Science and Technology, vol. 3, no. 6, pp. 1501-6, Nov 2009. [PMID]
A Novel Adaptive Basal Therapy Based on the Value and Rate of Change of Blood Glucose
Y. Wang, M.W. Percival, E. Dassau, H.C. Zisser, L. Jovanovic, F.J. Doyle III, “A Novel Adaptive Basal Therapy Based on the Value and Rate of Change of Blood Glucose,” J Diabetes Sci Technol, vol. 3, pp. 1099–1108, September 2009.[DOI]
A model of the cell-autonomous mammalian circadian clock
H. P. Mirsky, A. C. Liu, D. K. Welsh, S. A. Kay, and F. J. Doyle III, “A model of the cell-autonomous mammalian circadian clock,” Proc Natl Acad Sci USA, vol. 106, pp. 11107–11112, June 2009.[DOI]
Safety constraints in an artificial pancreatic beta cell: an implementation of model predictive control with insulin on board
C. Ellingsen, E. Dassau, H. Zisser, B. Grosman, M.W. Percival, L. Jovanovic, F.J. Doyle III, “Safety constraints in an artificial pancreatic beta cell: an implementation of model predictive control with insulin on board,” Journal of Diabetes Science and Technology, vol. 3, no. 3, pp. 536-44, May 2009. [PMID]
Practical approach to design and implementation of a control algorithm in an artificial pancreatic β-cell
M. W. Percival, E. Dassau, H. Zisser, L. Jovanovic, and F. J. Doyle III, “Practical approach to design and implementation of a control algorithm in an artificial pancreatic β-cell,” Ind Eng Chem Res, vol. 48, pp. 6059–6067, April 2009.[DOI]
In silico evaluation platform for artificial pancreatic beta-cell development–a dynamic simulator for closed-loop control with hardware-in-the-loop
E. Dassau, C.C. Palerm, H. Zisser, B.A. Buckingham, L. Jovanovic, F.J. Doyle III, “In silico evaluation platform for artificial pancreatic beta-cell development–a dynamic simulator for closed-loop control with hardware-in-the-loop,” Diabetes Technology & Therapeutics, vol. 11, no. 3, pp. 187-94, Mar 2009. [DOI]
In silico preclinical trials: methodology and engineering guide to closed-loop control in type 1 diabetes mellitus
S.D. Patek, B.W. Bequette, M. Breton, B.A. Buckingham, E. Dassau, F.J. Doyle III, J. Lum, L. Magni, H. Zisser, “In silico preclinical trials: methodology and engineering guide to closed-loop control in type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 3, no. 2, pp. 269-82, Mar 2009. [PMID]
Identification of models for control of wet granulation
C. F. W. Sanders, M. J. Hounslow, and F. J. Doyle III, “Identification of models for control of wet granulation,” Powder Technology, vol. 188, pp. 255–263, January 2009.[DOI]
Coordinated basal-bolus infusion for tighter postprandial glucose control in insulin pump therapy
J. Bondia, E. Dassau, H. Zisser, R. Calm, J. Vehí, L. Jovanovič, F.J. Doyle III “Coordinated basal-bolus infusion for tighter postprandial glucose control in insulin pump therapy,” Journal of Diabetes Science and Technology, vol. 3, no. 1, pp. 89-97, Jan 2009. [PMID]
Experimental studies on distributions of granule size, binder content and porosity in batch drum granulation: Inferences on process modelling requirements and process sensitivities
R. Ramachandran, J. M. H. Poon, C. F. W. Sanders, T. Glaser, C. D. Immanuel, F. J. Doyle III, J. D. Litster, F. Stepanek, F.-Y. Wang, and I. T. Cameron, “Experimental studies on distributions of granule size, binder content and porosity in batch drum granulation: Inferences on process modelling requirements and process sensitivities,” Powder Technology, […]
Batch-to-batch control of characteristic points on the PSD in experimental emulsion polymerization
M. T. Dokucu and F. J. Doyle III, “Batch-to-batch control of characteristic points on the PSD in experimental emulsion polymerization,” AIChE Journal, vol. 54, pp. 3171–3187, December 2008.[DOI]
Bolus calculator: a review of four “smart” insulin pumps
H. Zisser, L. Robinson, W. Bevier, E. Dassau, C. Ellingsen, F.J. Doyle III, L. Jovanovic, “Bolus calculator: a review of four “smart” insulin pumps,” Diabetes Technology & Therapeutics, vol. 10, no. 6, pp. 441-4, Dec 2008. [DOI]
A Top-Down Approach to Mechanistic Biological Modeling: Application to the Single-Chain Antibody Folding Pathway
S. Hildebrandt, D. Raden, L. Petzold, A. S. Robinson, and F. J. Doyle III, “A Top-Down Approach to Mechanistic Biological Modeling: Application to the Single-Chain Antibody Folding Pathway,” vol. 95, pp. 3535–3558, October 2008.[DOI]
Modular artificial beta-cell system: a prototype for clinical research
E. Dassau, H. Zisser, C. C Palerm, B. A Buckingham, L. Jovanovic, F. J Doyle III, “Modular artificial beta-cell system: a prototype for clinical research,” Journal of Diabetes Science and Technology, vol. 2, no. 5, pp. 863-72, Sep 2008. [PMID]
Synchrony and entrainment properties of robust circadian oscillators
N. Bagheri, S. R. Taylor, K. Meeker, L. R. Petzold, and F. J. Doyle III, “Synchrony and entrainment properties of robust circadian oscillators,” J R Soc Interface, vol. 5 Suppl 1, pp. S17-28–S17-28, August 2008.[DOI]
Circadian Phase Resetting via Single and Multiple Control Targets
N. Bagheri, J. Stelling, and F. J. Doyle III, “Circadian Phase Resetting via Single and Multiple Control Targets,” PLoS Comput Biol, vol. 4, pp. e1000104–e1000104, July 2008.[DOI]
Closed-loop control and advisory mode evaluation of an artificial pancreatic β-cell: use of proportional-integral-derivative equivalent model-based controllers
M. W. Percival, H. Zisser, L. Jovanovic, and F. J. Doyle III, “Closed-loop control and advisory mode evaluation of an artificial pancreatic β-cell: use of proportional-integral-derivative equivalent model-based controllers,” J Diabetes Sci Technol, vol. 2, pp. 636–644, July 2008.[DOI]
A three-dimensional population balance model of granulation with a mechanistic representation of the nucleation and aggregation phenomena
J. M. H. Poon, C. D. Immanuel, F. J. Doyle III, and J. D. Litster, “A three-dimensional population balance model of granulation with a mechanistic representation of the nucleation and aggregation phenomena,” Chemical Engineering Science, vol. 63, pp. 1315–1329, March 2008.[DOI]
Reduced-order methodologies for feedback control of particle size distribution in semi-batch emulsion copolymerization
M. T. Dokucu, M.-J. Park, and F. J. Doyle III, “Reduced-order methodologies for feedback control of particle size distribution in semi-batch emulsion copolymerization,” Chemical Engineering Science, vol. 63, pp. 1230–1245, March 2008.[DOI]
A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes
C. C. Palerm, H. Zisser, L. Jovanovi, and F. J. Doyle III, “A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes,” J Process Control, vol. 18, pp. 258–265, March 2008. [DOI]
A two-level discretisation algorithm for the efficient solution of higher-dimensional population balance models
M. A. Pinto, C. D. Immanuel, and F. J. Doyle III, “A two-level discretisation algorithm for the efficient solution of higher-dimensional population balance models,” Chemical Engineering Science, vol. 63, pp. 1304–1314, March 2008.[DOI]
Detection of a Meal Using Continuous Glucose Monitoring: Implications for an artificial β-cell
E. Dassau, B. W. Bequette, B. A. Buckingham, and F. J. Doyle III, “Detection of a Meal Using Continuous Glucose Monitoring: Implications for an artificial β-cell,” Diabetes Care, vol. 31, pp. 295–300, February 2008.[DOI]
Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network
S. R. Taylor, R. Gunawan, L. R. Petzold, and F. J. Doyle III, “Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network,” Automatic Control, IEEE Transactions on, vol. 53, pp. 177–188, January 2008.[DOI]
“Multi-rate model predictive control of particle size distribution in a semibatch emulsion copolymerization reacto
M. T. Dokucu, M.-J. Park, and F. J. Doyle III, “Multi-rate model predictive control of particle size distribution in a semibatch emulsion copolymerization reactor,” Journal of Process Control, vol. 18, pp. 105–120, January 2008.[DOI]
A feasible solution technique for higher-dimensional population balance models
M. A. Pinto, C. D. Immanuel, and F. J. Doyle III, “A feasible solution technique for higher-dimensional population balance models,” Computers & Chemical Engineering, vol. 31, pp. 1242–1256, October 2007.[DOI]
A Molecular Model for Intercellular Synchronization in the Mammalian Circadian Clock
T.-L. To, M. A. Henson, E. D. Herzog, and F. J. Doyle III, “A Molecular Model for Intercellular Synchronization in the Mammalian Circadian Clock,” Biophys J., vol. 92, pp. 3792?3803–3792?3803, June 2007.[DOI].
Simultaneous high gain and wide dynamic range in a model of bacterial chemotaxis
M. J. Park, F. W. Dahlquist, and F. J. Doyle III, “Simultaneous high gain and wide dynamic range in a model of bacterial chemotaxis,” Systems Biology, IET, vol. 1, pp. 222–229, 2007.[DOI]
A run-to-run framework for prandial insulin dosing: handling real-life uncertainty
C. C. Palerm, H. Zisser, L. Jovanovic, and F. J. Doyle III, “A run-to-run framework for prandial insulin dosing: handling real-life uncertainty,” International Journal of Robust and Nonlinear Control, vol. 17, pp. 1194–1213, 2007.[DOI]
Uncovering Physiologic Mechanisms of Circadian Rhythms and Sleep/Wake Regulation through Mathematical Modeling
R. E. Kronauer, G. Gunzelmann, H. P. A. Van Dongen, F. J. Doyle III, and E. B. Klerman, “Uncovering Physiologic Mechanisms of Circadian Rhythms and Sleep/Wake Regulation through Mathematical Modeling,” J Biol Rhythms, vol. 22, pp. 233–245, June 2007.[DOI]
“Prandial Insulin Dosing Using Run-to-Run Control: Application of clinical data and medical expertise to define a suitable performance metric
C. C. Palerm, H. Zisser, W. C. Bevier, L. Jovanovic, and F. J. Doyle III, “Prandial Insulin Dosing Using Run-to-Run Control: Application of clinical data and medical expertise to define a suitable performance metric,” Diabetes Care, vol. 30, pp. 1131–1136, May 2007.[DOI]
Intercellular Coupling Confers Robustness against Mutations in the SCN Circadian Clock Network
A. C. Liu, D. K. Welsh, C. H. Ko, H. G. Tran, E. E. Zhang, A. A. Priest, E. D. Buhr, O. Singer, K. Meeker, I. M. Verma, F. J. Doyle III, J. S. Takahashi, and S. A. Kay, “Intercellular Coupling Confers Robustness against Mutations in the SCN Circadian Clock Network,” Cell, vol. 129, pp. […]
Phase Sensitivity Analysis of Circadian Rhythm Entrainment
R. Gunawan and F. J. Doyle III, “Phase Sensitivity Analysis of Circadian Rhythm Entrainment,” J Biol Rhythms, vol. 22, pp. 180–194, April 2007.[DOI]
Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic-euglycaemic clamp?-?a novel use for a proven technique
W. C. Bevier, H. Zisser, C. C. Palerm, D. A. Finan, D. E. Seborg, F. J. Doyle III, A. O. Wollitzer, Jovanovi, ccaron, and Lois, “Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic-euglycaemic clamp?-?a novel use for a proven technique,” Diabetes/Metabolism Research and Reviews, vol. 23, pp. 472–478, 2007.[DOI]
Quantitative performance metrics for robustness in circadian rhythms
N. Bagheri, J. Stelling, and F. J. Doyle III, “Quantitative performance metrics for robustness in circadian rhythms,” Bioinformatics, vol. 23, pp. 358–364, February 2007.[DOI]
Circadian phase entrainment via nonlinear model predictive control
N. Bagheri, J. Stelling, and F. J. Doyle III, “Circadian phase entrainment via nonlinear model predictive control,” International Journal of Robust and Nonlinear Control, vol. 17, pp. 1555–1571, 2007.[DOI]
Nonlinear inferential multi-rate control of Kappa number at multiple locations in a continuous pulp digester
N. Padhiyar, A. Gupta, A. Gautam, S. Bhartiya, F. J. Doyle III, S. Dash, and S. Gaikwad, “Nonlinear inferential multi-rate control of Kappa number at multiple locations in a continuous pulp digester,” Journal of Process Control, vol. 16, pp. 1037–1053, December 2006.[DOI]