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Sunil Deshpande
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2020 – today
- 2023
- [j4]Sunil Deshpande
, Francis J. Doyle
, Eyal Dassau
:
Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(5): 2261-2274 (2023) - 2022
- [j3]Penghong Guo
, Daniel E. Rivera
, Yuwen Dong
, Sunil Deshpande
, Jennifer S. Savage, Emily E. Hohman
, Abigail M. Pauley, Krista S. Leonard
, Danielle Symons Downs:
Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. Comput. Chem. Eng. 160: 107721 (2022) - 2021
- [j2]Marzia Cescon
, Sunil Deshpande
, Revital Nimri
, Francis J. Doyle III
, Eyal Dassau
:
Using Iterative Learning for Insulin Dosage Optimization in Multiple-Daily-Injections Therapy for People With Type 1 Diabetes. IEEE Trans. Biomed. Eng. 68(2): 482-491 (2021)
2010 – 2019
- 2019
- [c10]Marzia Cescon, Sunil Deshpande, Francis J. Doyle, Eyal Dassau:
Iterative Learning Control with Sparse Measurements for Long-Acting Insulin Injections in People with Type 1 Diabetes. ACC 2019: 4746-4751 - 2017
- [p1]Daniel E. Rivera, César A. Martín, Kevin P. Timms, Sunil Deshpande, Naresh N. Nandola, Eric B. Hekler
:
Control Systems Engineering for Optimizing Behavioral mHealth Interventions. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 455-493 - 2015
- [c9]Cesar A. Martin
, Sunil Deshpande
, Eric B. Hekler
, Daniel E. Rivera
:
A system identification approach for improving behavioral interventions based on Social Cognitive Theory. ACC 2015: 5878-5883 - 2014
- [j1]Sunil Deshpande, Daniel E. Rivera
:
Constrained Optimal Input Signal Design for Data-Centric Estimation Methods. IEEE Trans. Autom. Control. 59(11): 2990-2995 (2014) - [c8]Yuwen Dong, Sunil Deshpande
, Daniel E. Rivera
, Danielle S. Downs, Jennifer S. Savage:
Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions. ACC 2014: 4198-4203 - [c7]Sunil Deshpande
, Daniel E. Rivera
:
Data-centric input signal design for highly interactive dynamical systems. CDC 2014: 1023-1028 - [c6]Sunil Deshpande
, Daniel E. Rivera
:
Towards data-centric input signal design using sparse polynomial optimization. CDC 2014: 1893-1898 - [c5]Paulo J. Lopes dos Santos
, T.-P. Azevedo-Perdicoúlis
, José A. Ramos, Sunil Deshpande, Daniel E. Rivera
, Jorge Leite Martins de Carvalho
:
LPV system identification using a separable least squares support vector machines approach. CDC 2014: 2548-2554 - 2013
- [c4]P. Lopes dos Santos
, Sunil Deshpande
, Daniel E. Rivera, T.-P. Azevedo-Perdicoúlis, José A. Ramos, Jarred Younger:
Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment. ACC 2013: 1976-1981 - [c3]Sunil Deshpande
, Daniel E. Rivera:
Optimal input signal design for data-centric estimation methods. ACC 2013: 3924-3929 - [c2]Sunil Deshpande, Daniel E. Rivera
:
A data-centric system identification approach to input signal design for Hammerstein systems. CDC 2013: 5192-5197 - 2011
- [c1]Sunil Deshpande
, Naresh N. Nandola, Daniel E. Rivera, Jarred Younger:
A control engineering approach for designing an optimized treatment plan for fibromyalgia. ACC 2011: 4798-4803
Coauthor Index
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