Ankush Chakrabarty
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Event-triggered model predictive control for embedded artificial pancreas systems
A Chakrabarty, S Zavitsanou, FJ Doyle, E Dassau
IEEE Transactions on Biomedical Engineering 65 (3), 575-586, 2017
Non-Fragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems
X Li, F Zhu, A Chakrabarty, SH Zak
IEEE Transactions on Fuzzy Systems 24 (6), 1679 - 1689, 2016
State and unknown input observers for nonlinear systems with bounded exogenous inputs
A Chakrabarty, MJ Corless, GT Buzzard, SH Żak, AE Rundell
IEEE Transactions on Automatic Control 62 (11), 5497-5510, 2017
Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences
A Chakrabarty, V Dinh, M Corless, AE Rundell, SH Zak, GT Buzzard
IEEE Transactions on Automatic Control 62 (1), 135 - 148, 2017
Volterra kernel based face recognition using artificial bee colonyoptimization
A Chakrabarty, H Jain, A Chatterjee
Engineering Applications of Artificial Intelligence 26 (3), 1107-1114, 2013
Intraperitoneal insulin delivery provides superior glycaemic regulation to subcutaneous insulin delivery in model predictive control‐based fully‐automated artificial pancreas …
E Dassau, E Renard, J Place, A Farret, MJ Pelletier, J Lee, LM Huyett, ...
Diabetes, Obesity and Metabolism 19 (12), 1698-1705, 2017
Model‐based design of experiments for cellular processes
A Chakrabarty, GT Buzzard, AE Rundell
Wiley Interdisciplinary Reviews: Systems Biology and Medicine 5 (2), 181-203, 2013
Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas
S Zavitsanou, A Chakrabarty, E Dassau, FJ Doyle III
Processes 4 (4), 35, 2016
Understanding heavy tails in a bounded world or, is a truncated heavy tail heavy or not?
A Chakrabarty, G Samorodnitsky
Stochastic models 28 (1), 109-143, 2012
Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation
S Banerjee, A Chakrabarty, S Maity, A Chatterjee
Applied Soft Computing 11 (4), 3441-3450, 2011
Delayed unknown input observers for discrete-time linear systems with guaranteed performance
A Chakrabarty, R Ayoub, SH Żak, S Sundaram
Systems & Control Letters 103, 9-15, 2017
Robust explicit nonlinear model predictive control with integral sliding mode
A Chakrabarty, V Dinh, GT Buzzard, SH Żak, AE Rundell
2014 American Control Conference, 2851-2856, 2014
State and unknown input observers for nonlinear systems with delayed measurements
A Chakrabarty, E Fridman, SH Żak, GT Buzzard
Automatica 95, 246-253, 2018
Fuzzy model predictive control of non-linear processes using convolution models and foraging algorithms
A Chakrabarty, S Banerjee, S Maity, A Chatterjee
Measurement 46 (4), 1616-1629, 2013
State and unknown input observers for discrete-time nonlinear systems
A Chakrabarty, SH Żak, S Sundaram
2016 IEEE 55th Conference on Decision and Control (CDC), 7111-7116, 2016
Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting.
A Chakrabarty, O Choudhury, P Sarkar, A Paul, D Sarkar
Artif. Intell. Research 1 (1), 63-83, 2012
Output-tracking quantized explicit nonlinear model predictive control using multiclass support vector machines
A Chakrabarty, GT Buzzard, SH Żak
IEEE Transactions on Industrial Electronics 64 (5), 4130-4138, 2016
HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning
O Choudhury, A Chakrabarty, SJ Emrich
Nature Scientific Reports 8 (1), 9936, 2018
Deep Learning Assisted Macronutrient Estimation For Feedforward-Feedback Control In Artificial Pancreas Systems
A Chakrabarty, FJ Doyle III, E Dassau
American Control Conference (ACC), 3564 - 3570, 2018
A new animal model of insulin-glucose dynamics in the intraperitoneal space enhances closed-loop control performance
A Chakrabarty, JM Gregory, LM Moore, PE Williams, B Farmer, ...
Journal of process control 76, 62-73, 2019
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