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Francis J. Doyle

Affiliations: 
Chemical Engineering University of California, Santa Barbara, Santa Barbara, CA, United States 
Area:
Chemical Engineering
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"Francis Doyle"
Bio:

Doyle, Francis J. Robustness properties of nonlinear process control and implications for the design and control of a packed bed reactor. Dissertation (Ph.D.), California Institute of Technology (1991).

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Parents

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Manfred Morari grad student 1991 Caltech
 (Robustness properties of nonlinear process control and implications for the design and control of a packed bed reactor.)

Children

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Robert S. Parker grad student 1999 University of Delaware
Edward Price Gatzke grad student 2000 University of Delaware
Rajanikanth Vadigepalli grad student 2001 University of Delaware
Radhakrishnan Mahadevan grad student 2002 University of Delaware (Chemistry Tree)
Charles David Immanuel grad student 2003 University of Delaware
Neda Bagheri grad student 2002-2007 UC Santa Barbara (Chemistry Tree)
Jason E. Shoemaker grad student 2009 UC Santa Barbara
Peter C St John grad student 2010-2015
Pascal Dufour post-doc UC Santa Barbara
Rudiyanto Gunawan post-doc 2003-2006 UC Santa Barbara (MathTree)
Myung-June Park post-doc 2003-2006 UC Santa Barbara
Bharath Ananthasubramaniam post-doc 2008-2011 UC Santa Barbara

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Publications

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Chakrabarty A, Healey E, Shi D, et al. (2020) Embedded Model Predictive Control for a Wearable Artificial Pancreas. Ieee Transactions On Control Systems Technology : a Publication of the Ieee Control Systems Society. 28: 2600-2607
Brown LS, Doyle FJ. (2020) A dual-feedback loop model of the mammalian circadian clock for multi-input control of circadian phase. Plos Computational Biology. 16: e1008459
Kovatchev B, Anderson SM, Raghinaru D, et al. (2020) Randomized Controlled Trial of Mobile Closed-Loop Control. Diabetes Care
Abel JH, Chakrabarty A, Klerman EB, et al. (2019) Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control. Automatica : the Journal of Ifac, the International Federation of Automatic Control. 100: 336-348
Chakrabarty A, Gregory JM, Moore LM, et al. (2019) A New Animal Model of Insulin-Glucose Dynamics in the Intraperitoneal Space Enhances Closed-Loop Control Performance. Journal of Process Control. 76: 62-73
Shi D, Dassau E, Doyle FJ. (2019) Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties. Ieee Transactions On Bio-Medical Engineering. 66: 1045-1054
Perkins EJ, Gayen K, Shoemaker JE, et al. (2018) Chemical hazard prediction and hypothesis testing using quantitative adverse outcome pathways. Altex
Gondhalekar R, Dassau E, Doyle FJ. (2018) Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance. Automatica : the Journal of Ifac, the International Federation of Automatic Control. 91: 105-117
Pinsker JE, Laguna Sanz AJ, Lee JB, et al. (2018) Evaluation of an Artificial Pancreas with Enhanced Model Predictive Control and a Glucose Prediction Trust Index with Unannounced Exercise. Diabetes Technology & Therapeutics. 20: 455-464
Brown LS, Doyle FJ. (2018) Toward Multi-Input Control: A Dual-Feedback Loop Model of the Mammalian Circadian Clock Ifac-Papersonline. 51: 24-27
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