Ankush Chakrabarty
Ankush Chakrabarty
Principal Research Scientist at Mitsubishi Electric Research Laboratories (MERL)
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Zitiert von
Zitiert von
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
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
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
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
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
Urban sound classification using convolutional neural network and long short term memory based on multiple features
JK Das, A Ghosh, AK Pal, S Dutta, A Chakrabarty
2020 Fourth International Conference On Intelligent Computing in Data …, 2020
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
Scalable Bayesian optimization for model calibration: Case study on coupled building and HVAC dynamics
A Chakrabarty, E Maddalena, H Qiao, C Laughman
Energy and Buildings 253, 111460, 2021
Active learning for estimating reachable sets for systems with unknown dynamics
A Chakrabarty, C Danielson, S Di Cairano, A Raghunathan
IEEE Transactions on Cybernetics 52 (4), 2531-2542, 2020
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
State and unknown input observers for nonlinear systems with delayed measurements
A Chakrabarty, E Fridman, SH Żak, GT Buzzard
Automatica 95, 246-253, 2018
Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation
A Chakrabarty, C Danielson, SA Bortoff, CR Laughman
Applied Thermal Engineering 197, 117335, 2021
Optimal dynamic scheduling of wireless networked control systems
Y Ma, J Guo, Y Wang, A Chakrabarty, H Ahn, P Orlik, C Lu
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019
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
VABO: Violation-aware Bayesian optimization for closed-loop control performance optimization with unmodeled constraints
W Xu, CN Jones, B Svetozarevic, CR Laughman, A Chakrabarty
2022 American Control Conference (ACC), 5288-5293, 2022
Embedding approximate nonlinear model predictive control at ultrahigh speed and extremely low power
A Raha, A Chakrabarty, V Raghunathan, GT Buzzard
IEEE Transactions on Control Systems Technology 28 (3), 1092-1099, 2019
Safe approximate dynamic programming via kernelized lipschitz estimation
A Chakrabarty, DK Jha, GT Buzzard, Y Wang, KG Vamvoudakis
IEEE transactions on neural networks and learning systems 32 (1), 405-419, 2020
Data-driven estimation of backward reachable and invariant sets for unmodeled systems via active learning
A Chakrabarty, A Raghunathan, S Di Cairano, C Danielson
2018 IEEE Conference on Decision and Control (CDC), 372-377, 2018
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