People - Ankush Chakrabarty | Mitsubishi Electric Research Laboratories

Biography

Ankush works at the confluence of machine learning and automatic control. At Purdue, his doctoral research focused on developing scalable, data-driven methods for simplifying computationally intensive operations encountered in controlling and observing complex, nonlinear systems. Prior to joining MERL, Ankush was a postdoctoral Fellow at Harvard where he designed embedded model predictive controllers and deep learning-assisted control strategies for treating people with type 1 diabetes.
Recent News & Events
- NEWS MERL Researchers Presented Six Papers at the 2022 IEEE Conference on Decision and Control (CDC’22)
  Date: December 6, 2022 - December 9, 2022
  Where: Cancún, Mexico
  MERL Contacts: Mouhacine Benosman; Karl Berntorp; Ankush Chakrabarty; Marcus Greiff; Devesh K. Jha; Arvind Raghunathan; Diego Romeres; Yebin Wang
  Research Areas: Control, Optimization
  Brief
  - MERL researchers presented six papers at the Conference on Decision and Control that was held in Cancún, Mexico from December 6-9, 2022. The papers covered a broad range of topics in the areas of decision making and control, including Bayesian optimization, quadratic programming, solution of differential equations, distributed Kalman filtering, thermal monitoring of batteries, and closed-loop control optimization.
- NEWS MERL researchers win ASME Energy Systems Technical Committee Best Paper Award at 2022 American Control Conference
  Date: June 8, 2022
  Where: 2022 American Control Conference
  MERL Contacts: Ankush Chakrabarty; Christopher R. Laughman
  Research Areas: Control, Machine Learning, Multi-Physical Modeling, Optimization
  Brief
  - Researchers from EPFL (Wenjie Xu, Colin Jones) and EMPA (Bratislav Svetozarevic), in collaboration with MERL researchers Ankush Chakrabarty and Chris Laughman, recently won the ASME Energy Systems Technical Committee Best Paper Award at the 2022 American Control Conference for their work on "VABO: Violation-Aware Bayesian Optimization for Closed-Loop Performance Optimization with Unmodeled Constraints" out of 19 nominations and 3 finalists. The paper describes a data-driven framework for optimizing the performance of constrained control systems by systematically re-evaluating how cautiously/aggressively one should explore the search space to avoid sustained, large-magnitude constraint violations while tolerating small violations, and demonstrates these methods on a physics-based model of a vapor compression cycle.
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Internships with Ankush
- MS2012: Residual Model Learning for Building Energy Systems
  
  MERL is looking for a highly motivated and qualified candidate to work on learning residual dynamics to augment ODE/DAE-based models of building energy systems. The ideal candidate will have a strong understanding of system identification, optimization, machine learning and/or function approximation; additional understanding of energy systems is a plus. Hands-on programming experience with numerical optimization solvers and Python is preferred; experience with Modelica/FMUs is a plus. PhD students are strongly preferred, as an expected outcome of the internship is a publication in a high-tier venue. The minimum duration of the internship is 12 weeks; start time is flexible.
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MERL Publications
- Chakrabarty, A., Berntorp, K., Di Cairano, S., "Parameter-Adaptive Reference Governors with Learned Robust Constraint-Admissible Sets", Control Engineering Practice, February 2023.
  BibTeX TR2023-005 PDF
  - @article{Chakrabarty2023feb,
  - author = {Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
  - title = {Parameter-Adaptive Reference Governors with Learned Robust Constraint-Admissible Sets},
  - journal = {Control Engineering Practice},
  - year = 2023,
  - month = feb,
  - url = {https://www.merl.com/publications/TR2023-005}
  - }
- Bhattacharya, C., Chakrabarty, A., Laughman, C.R., Qiao, H., "https://iwww.merl.com/TR/camready-4505.pdf", Modeling, Estimation and Control Conference, December 2022.
  BibTeX TR2022-170 PDF
  - @inproceedings{Bhattacharya2022dec,
  - author = {Bhattacharya, Chandrachur and Chakrabarty, Ankush and Laughman, Christopher R. and Qiao, Hongtao},
  - title = {https://iwww.merl.com/TR/camready-4505.pdf},
  - booktitle = {Modeling, Estimation and Control Conference},
  - year = 2022,
  - month = dec,
  - url = {https://www.merl.com/publications/TR2022-170}
  - }
- Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation", IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2022.3216790, December 2022.
  BibTeX TR2022-168 PDF
  - @article{Chakrabarty2022dec2,
  - author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
  - title = {Simulation Failure Robust Bayesian Optimization for Data-Driven Parameter Estimation},
  - journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  - year = 2022,
  - month = dec,
  - doi = {10.1109/TSMC.2022.3216790},
  - url = {https://www.merl.com/publications/TR2022-168}
  - }
- Chakrabarty, A., "Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC51059.2022.9992404, December 2022.
  BibTeX TR2022-160 PDF
  - @inproceedings{Chakrabarty2022dec,
  - author = {Chakrabarty, Ankush},
  - title = {Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning},
  - booktitle = {IEEE Conference on Decision and Control (CDC)},
  - year = 2022,
  - month = dec,
  - doi = {10.1109/CDC51059.2022.9992404},
  - url = {https://www.merl.com/publications/TR2022-160}
  - }
- Paulson, J.A., Sorouifar, F., Chakrabarty, A., "Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC51059.2022.9992943, December 2022.
  BibTeX TR2022-161 PDF
  - @inproceedings{Paulson2022dec,
  - author = {Paulson, Joel A. and Sorouifar, Farshud and Chakrabarty, Ankush},
  - title = {Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints},
  - booktitle = {IEEE Conference on Decision and Control (CDC)},
  - year = 2022,
  - month = dec,
  - doi = {10.1109/CDC51059.2022.9992943},
  - url = {https://www.merl.com/publications/TR2022-161}
  - }
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Other Publications
- Ankush Chakrabarty, Emilia Fridman, Stanisław H Zak and Gregery T Buzzard, "State and unknown input observers for nonlinear systems with delayed measurements", Automatica, Vol. 95, pp. 246-253, 2018.
  BibTeX
  - @Article{aachakrabarty2018state,
  - author = {Chakrabarty, Ankush and Fridman, Emilia and Zak, Stanislaw H and Buzzard, Gregery T},
  - title = {State and unknown input observers for nonlinear systems with delayed measurements},
  - journal = {Automatica},
  - year = 2018,
  - volume = 95,
  - pages = {246--253},
  - publisher = {Pergamon}
  - }
- Olivia Choudhury, Ankush Chakrabarty and Scott J. Emrich, "HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning", Nature Scientific Reports, Vol. 8, No. 1, pp. 9936, 2018.
  BibTeX
  - @Article{aachoudhury2018hecil,
  - author = {Choudhury, Olivia and Chakrabarty, Ankush and Emrich, Scott J.},
  - title = {HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning},
  - journal = {Nature Scientific Reports},
  - year = 2018,
  - volume = 8,
  - number = 1,
  - pages = 9936,
  - publisher = {Springer}
  - }
- John H Abel, Ankush Chakrabarty and Francis J Doyle, "Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators" in Emerging Applications of Control and Systems Theory, pp. 123-138, Springer, Cham, 2018.
  BibTeX
  - @Incollection{abel2018controlling,
  - author = {Abel, John H and Chakrabarty, Ankush and Doyle, Francis J},
  - title = {Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators},
  - booktitle = {Emerging Applications of Control and Systems Theory},
  - year = 2018,
  - pages = {123--138},
  - publisher = {Springer, Cham}
  - }
- Ankush Chakrabarty, Francis J. Doyle III and Eyal Dassau, "Deep Learning Assisted Macronutrient Estimation For Feedforward-Feedback Control In Artificial Pancreas Systems", American Control Conference (ACC), 2018, pp. 3564-3570.
  BibTeX
  - @Inproceedings{chakrabarty2018deep,
  - author = {Chakrabarty, Ankush and Doyle III, Francis J. and Dassau, Eyal},
  - title = {Deep Learning Assisted Macronutrient Estimation For Feedforward-Feedback Control In Artificial Pancreas Systems},
  - booktitle = {American Control Conference (ACC)},
  - year = 2018,
  - pages = {3564--3570}
  - }
- Ankush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle and Eyal Dassau, "Event-triggered model predictive control for embedded artificial pancreas systems", IEEE Transactions on Biomedical Engineering, Vol. 65, No. 3, pp. 575-586, 2018.
  BibTeX
  - @Article{chakrabarty2018event,
  - author = {Chakrabarty, Ankush and Zavitsanou, Stamatina and Doyle, Francis J and Dassau, Eyal},
  - title = {Event-triggered model predictive control for embedded artificial pancreas systems},
  - journal = {IEEE Transactions on Biomedical Engineering},
  - year = 2018,
  - volume = 65,
  - number = 3,
  - pages = {575--586},
  - publisher = {IEEE}
  - }
- Scott C Johnson, Ankush Chakrabarty, Jianghai Hu, Stanisław H Zak and Raymond A DeCarlo, "Dual-mode robust fault estimation for switched linear systems with state jumps", Nonlinear Analysis: Hybrid Systems, Vol. 27, pp. 125-140, 2018.
  BibTeX
  - @Article{johnson2018dual,
  - author = {Johnson, Scott C and Chakrabarty, Ankush and Hu, Jianghai and Zak, Stanislaw H and DeCarlo, Raymond A},
  - title = {Dual-mode robust fault estimation for switched linear systems with state jumps},
  - journal = {Nonlinear Analysis: Hybrid Systems},
  - year = 2018,
  - volume = 27,
  - pages = {125--140},
  - publisher = {Elsevier}
  - }
- John H Abel, Ankush Chakrabarty and Francis J Doyle III, "Nonlinear model predictive control for circadian entrainment using small-molecule pharmaceuticals", IFAC-PapersOnLine, Vol. 50, No. 1, pp. 9864-9870, 2017.
  BibTeX
  - @Article{abel2017nonlinear,
  - author = {Abel, John H and Chakrabarty, Ankush and Doyle III, Francis J},
  - title = {Nonlinear model predictive control for circadian entrainment using small-molecule pharmaceuticals},
  - journal = {IFAC-PapersOnLine},
  - year = 2017,
  - volume = 50,
  - number = 1,
  - pages = {9864--9870},
  - publisher = {Elsevier}
  - }
- Ankush Chakrabarty, Raid Ayoub, Stanisław H Zak and Shreyas Sundaram, "Delayed unknown input observers for discrete-time linear systems with guaranteed performance", Systems & Control Letters, Vol. 103, pp. 9-15, 2017.
  BibTeX
  - @Article{chakrabarty2017delayed,
  - author = {Chakrabarty, Ankush and Ayoub, Raid and Zak, Stanislaw H and Sundaram, Shreyas},
  - title = {Delayed unknown input observers for discrete-time linear systems with guaranteed performance},
  - journal = {Systems \& Control Letters},
  - year = 2017,
  - volume = 103,
  - pages = {9--15},
  - publisher = {North-Holland}
  - }
- Ankush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle and Eyal Dassau, "Model predictive control with event-triggered communication for an embedded artificial pancreas", Control Technology and Applications (CCTA), 2017 IEEE Conference on, 2017, pp. 536-541.
  BibTeX
  - @Inproceedings{chakrabarty2017model,
  - author = {Chakrabarty, Ankush and Zavitsanou, Stamatina and Doyle, Francis J and Dassau, Eyal},
  - title = {Model predictive control with event-triggered communication for an embedded artificial pancreas},
  - booktitle = {Control Technology and Applications (CCTA), 2017 IEEE Conference on},
  - year = 2017,
  - pages = {536--541},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Gregery T Buzzard and Stanisław H Zak, "Output-tracking quantized explicit nonlinear model predictive control using multiclass support vector machines", IEEE Transactions on Industrial Electronics, Vol. 64, No. 5, pp. 4130-4138, 2017.
  BibTeX
  - @Article{chakrabarty2017output,
  - author = {Chakrabarty, Ankush and Buzzard, Gregery T and Zak, Stanislaw H},
  - title = {Output-tracking quantized explicit nonlinear model predictive control using multiclass support vector machines},
  - journal = {IEEE Transactions on Industrial Electronics},
  - year = 2017,
  - volume = 64,
  - number = 5,
  - pages = {4130--4138},
  - publisher = {IEEE}
  - }
- Ankush Chakrabarty, Stamatina Zavitsanou, Francis J Doyle and Eyal Dassau, "Reducing controller updates via event-triggered model predictive control in an embedded artificial pancreas", American Control Conference (ACC), 2017, 2017, pp. 134-139.
  BibTeX
  - @Inproceedings{chakrabarty2017reducing,
  - author = {Chakrabarty, Ankush and Zavitsanou, Stamatina and Doyle, Francis J and Dassau, Eyal},
  - title = {Reducing controller updates via event-triggered model predictive control in an embedded artificial pancreas},
  - booktitle = {American Control Conference (ACC), 2017},
  - year = 2017,
  - pages = {134--139},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Martin J Corless, Gregery T Buzzard, Stanisław H Zak and Ann E Rundell, "State and unknown input observers for nonlinear systems with bounded exogenous inputs", IEEE Transactions on Automatic Control, Vol. 62, No. 11, pp. 5497-5510, 2017.
  BibTeX
  - @Article{chakrabarty2017state,
  - author = {Chakrabarty, Ankush and Corless, Martin J and Buzzard, Gregery T and Zak, Stanislaw H and Rundell, Ann E},
  - title = {State and unknown input observers for nonlinear systems with bounded exogenous inputs},
  - journal = {IEEE Transactions on Automatic Control},
  - year = 2017,
  - volume = 62,
  - number = 11,
  - pages = {5497--5510},
  - publisher = {IEEE}
  - }
- Ankush Chakrabarty, Vu Dinh, Martin Corless, Ann E Rundell, Stanislaw H Zak and Gregery T Buzzard, "Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences", IEEE Transactions on Automatic Control, Vol. 62, No. 1, pp. 135-148, 2017.
  BibTeX
  - @Article{chakrabarty2017support,
  - author = {Chakrabarty, Ankush and Dinh, Vu and Corless, Martin and Rundell, Ann E and Zak, Stanislaw H and Buzzard, Gregery T},
  - title = {Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences},
  - journal = {IEEE Transactions on Automatic Control},
  - year = 2017,
  - volume = 62,
  - number = 1,
  - pages = {135--148},
  - publisher = {IEEE}
  - }
- Olivia Choudhury, Ankush Chakrabarty and Scott J Emrich, "Highly Accurate and Efficient Data-Driven Methods For Genotype Imputation", IEEE/ACM transactions on computational biology and bioinformatics, 2017.
  BibTeX
  - @Article{choudhury2017highly,
  - author = {Choudhury, Olivia and Chakrabarty, Ankush and Emrich, Scott J},
  - title = {Highly Accurate and Efficient Data-Driven Methods For Genotype Imputation},
  - journal = {IEEE/ACM transactions on computational biology and bioinformatics},
  - year = 2017,
  - publisher = {IEEE}
  - }
- Eyal Dassau, Eric Renard, Jérôme Place, Anne Farret, Marie-José Pelletier, Justin Lee, Lauren M Huyett, Ankush Chakrabarty, Francis J Doyle III and Howard C Zisser, "Intraperitoneal insulin delivery provides superior glycaemic 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, Vol. 19, No. 12, pp. 1698-1705, 2017.
  BibTeX
  - @Article{dassau2017intraperitoneal,
  - author = {Dassau, Eyal and Renard, Eric and Place, Jerome and Farret, Anne and Pelletier, Marie-Jose and Lee, Justin and Huyett, Lauren M and Chakrabarty, Ankush and Doyle III, Francis J and Zisser, Howard C},
  - title = {Intraperitoneal insulin delivery provides superior glycaemic regulation to subcutaneous insulin delivery in model predictive control-based fully-automated artificial pancreas in patients with type 1 diabetes: a pilot study},
  - journal = {Diabetes, Obesity and Metabolism},
  - year = 2017,
  - volume = 19,
  - number = 12,
  - pages = {1698--1705},
  - publisher = {Blackwell Publishing Ltd Oxford, UK}
  - }
- Arnab Raha, Ankush Chakrabarty, Vijay Raghunathan and Gregery T Buzzard, "Ultrafast embedded explicit model predictive control for nonlinear systems", American Control Conference (ACC), 2017, 2017, pp. 4398-4403.
  BibTeX
  - @Inproceedings{raha2017ultrafast,
  - author = {Raha, Arnab and Chakrabarty, Ankush and Raghunathan, Vijay and Buzzard, Gregery T},
  - title = {Ultrafast embedded explicit model predictive control for nonlinear systems},
  - booktitle = {American Control Conference (ACC), 2017},
  - year = 2017,
  - pages = {4398--4403},
  - organization = {IEEE}
  - }
- Stanisław H Zak, Ankush Chakrabarty and Gregery T Buzzard, "Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices", American Control Conference (ACC), 2017, 2017, pp. 3270-3275.
  BibTeX
  - @Inproceedings{zak2017robust,
  - author = {Zak, Stanislaw H and Chakrabarty, Ankush and Buzzard, Gregery T},
  - title = {Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices},
  - booktitle = {American Control Conference (ACC), 2017},
  - year = 2017,
  - pages = {3270--3275},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Shreyas Sundaram, Martin J. Corless, Gregery T. Buzzard, Stanislaw H. Zak and Ann E. Rundell, "Distributed unknown input observers for interconnected nonlinear systems", 2016 American Control Conference (ACC), 2016, pp. 2478-2483.
  BibTeX
  - @Inproceedings{chakrabarty2016distributed,
  - author = {Chakrabarty, Ankush and Sundaram, Shreyas and Corless, Martin J. and Buzzard, Gregery T. and Zak, Stanislaw H. and Rundell, Ann E.},
  - title = {Distributed unknown input observers for interconnected nonlinear systems},
  - booktitle = {2016 American Control Conference (ACC)},
  - year = 2016,
  - pages = {2478--2483},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Stanisław H Zak and Shreyas Sundaram, "State and unknown input observers for discrete-time nonlinear systems", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 7111-7116.
  BibTeX
  - @Inproceedings{chakrabarty2016state,
  - author = {Chakrabarty, Ankush and Zak, Stanislaw H and Sundaram, Shreyas},
  - title = {State and unknown input observers for discrete-time nonlinear systems},
  - booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
  - year = 2016,
  - pages = {7111--7116},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Martin J Corless, Gregery T Buzzard, Stanisław H Zak and Ann E Rundell, "Sufficient Conditions For Exogenous Input Estimation In Nonlinear Systems", 2016 American Control Conference (ACC), 2016, pp. 103-108.
  BibTeX
  - @Inproceedings{chakrabarty2016sufficient,
  - author = {Chakrabarty, Ankush and Corless, Martin J and Buzzard, Gregery T and Zak, Stanislaw H and Rundell, Ann E},
  - title = {Sufficient Conditions For Exogenous Input Estimation In Nonlinear Systems},
  - booktitle = {2016 American Control Conference (ACC)},
  - year = 2016,
  - pages = {103--108}
  - }
- Ankush Chakrabarty, Gregery T Buzzard, Emilia Fridman and Stanisław H Zak, "Unknown input estimation via observers for nonlinear systems with measurement delays", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 2308-2313.
  BibTeX
  - @Inproceedings{chakrabarty2016unknown,
  - author = {Chakrabarty, Ankush and Buzzard, Gregery T and Fridman, Emilia and Zak, Stanislaw H},
  - title = {Unknown input estimation via observers for nonlinear systems with measurement delays},
  - booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
  - year = 2016,
  - pages = {2308--2313},
  - organization = {IEEE}
  - }
- Olivia Choudhury, Ankush Chakrabarty and Scott J Emrich, "HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data", Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2016, pp. 78-87.
  BibTeX
  - @Inproceedings{choudhury2016hapi,
  - author = {Choudhury, Olivia and Chakrabarty, Ankush and Emrich, Scott J},
  - title = {HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data},
  - booktitle = {Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics},
  - year = 2016,
  - pages = {78--87},
  - organization = {ACM}
  - }
- Xiaohang Li, Fanglai Zhu, Ankush Chakrabarty and Stanislaw H Zak, "Non-Fragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems", IEEE Transactions on Fuzzy Systems, Vol. 24, No. 6, pp. 1679-1689, 2016.
  BibTeX
  - @Article{li2016non,
  - author = {Li, Xiaohang and Zhu, Fanglai and Chakrabarty, Ankush and Zak, Stanislaw H},
  - title = {Non-Fragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems},
  - journal = {IEEE Transactions on Fuzzy Systems},
  - year = 2016,
  - volume = 24,
  - number = 6,
  - pages = {1679--1689},
  - publisher = {IEEE}
  - }
- Stamatina Zavitsanou, Ankush Chakrabarty, Eyal Dassau and Francis J. Doyle III, "Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas", Processes, Vol. 4, No. 4, pp. 35, 2016.
  BibTeX
  - @Article{zavitsanou2016embedded,
  - author = {Zavitsanou, Stamatina and Chakrabarty, Ankush and Dassau, Eyal and Doyle III, Francis J.},
  - title = {Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas},
  - journal = {Processes},
  - year = 2016,
  - volume = 4,
  - number = 4,
  - pages = 35,
  - publisher = {MDPI}
  - }
- Haotian Zhang, Ankush Chakrabarty, Raid Ayoub, Gregery T Buzzard and Shreyas Sundaram, "Sampling-based explicit nonlinear model predictive control for output tracking", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 4722-4727.
  BibTeX
  - @Inproceedings{zhang2016sampling,
  - author = {Zhang, Haotian and Chakrabarty, Ankush and Ayoub, Raid and Buzzard, Gregery T and Sundaram, Shreyas},
  - title = {Sampling-based explicit nonlinear model predictive control for output tracking},
  - booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
  - year = 2016,
  - pages = {4722--4727},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Gregery T Buzzard, Martin J Corless, Stanisław H Zak and Ann E Rundell, "Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control", Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014, pp. 3426-3429.
  BibTeX
  - @Inproceedings{chakrabarty2014correcting,
  - author = {Chakrabarty, Ankush and Buzzard, Gregery T and Corless, Martin J and Zak, Stanislaw H and Rundell, Ann E},
  - title = {Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control},
  - booktitle = {Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE},
  - year = 2014,
  - pages = {3426--3429},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Vu C Dinh, Gregery T Buzzard, Stanislaw H Zak and Ann E Rundell, "Robust explicit nonlinear model predictive control with integral sliding mode.", ACC, 2014, pp. 2851-2856.
  BibTeX
  - @Inproceedings{chakrabarty2014robust,
  - author = {Chakrabarty, Ankush and Dinh, Vu C and Buzzard, Gregery T and Zak, Stanislaw H and Rundell, Ann E},
  - title = {Robust explicit nonlinear model predictive control with integral sliding mode.},
  - booktitle = {ACC},
  - year = 2014,
  - pages = {2851--2856}
  - }
- Ankush Chakrabarty, Suvadeep Banerjee, Sayan Maity and Amitava Chatterjee, "Fuzzy model predictive control of non-linear processes using convolution models and foraging algorithms", Measurement, Vol. 46, No. 4, pp. 1616-1629, 2013.
  BibTeX
  - @Article{chakrabarty2013fuzzy,
  - author = {Chakrabarty, Ankush and Banerjee, Suvadeep and Maity, Sayan and Chatterjee, Amitava},
  - title = {Fuzzy model predictive control of non-linear processes using convolution models and foraging algorithms},
  - journal = {Measurement},
  - year = 2013,
  - volume = 46,
  - number = 4,
  - pages = {1616--1629},
  - publisher = {Elsevier}
  - }
- Ankush Chakrabarty, Gregery T Buzzard and Ann E Rundell, "Model-based design of experiments for cellular processes", Wiley Interdisciplinary Reviews: Systems Biology and Medicine, Vol. 5, No. 2, pp. 181-203, 2013.
  BibTeX
  - @Article{chakrabarty2013model,
  - author = {Chakrabarty, Ankush and Buzzard, Gregery T and Rundell, Ann E},
  - title = {Model-based design of experiments for cellular processes},
  - journal = {Wiley Interdisciplinary Reviews: Systems Biology and Medicine},
  - year = 2013,
  - volume = 5,
  - number = 2,
  - pages = {181--203},
  - publisher = {John Wiley \& Sons, Inc. Hoboken, USA}
  - }
- Ankush Chakrabarty, Serena M Pearce, Robert P Nelson and Ann E Rundell, "Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies", American Control Conference (ACC), 2013, 2013, pp. 3790-3795.
  BibTeX
  - @Inproceedings{chakrabarty2013treating,
  - author = {Chakrabarty, Ankush and Pearce, Serena M and Nelson, Robert P and Rundell, Ann E},
  - title = {Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies},
  - booktitle = {American Control Conference (ACC), 2013},
  - year = 2013,
  - pages = {3790--3795},
  - organization = {IEEE}
  - }
- Ankush Chakrabarty, Harsh Jain and Amitava Chatterjee, "Volterra kernel based face recognition using artificial bee colonyoptimization", Engineering Applications of Artificial Intelligence, Vol. 26, No. 3, pp. 1107-1114, 2013.
  BibTeX
  - @Article{chakrabarty2013volterra,
  - author = {Chakrabarty, Ankush and Jain, Harsh and Chatterjee, Amitava},
  - title = {Volterra kernel based face recognition using artificial bee colonyoptimization},
  - journal = {Engineering Applications of Artificial Intelligence},
  - year = 2013,
  - volume = 26,
  - number = 3,
  - pages = {1107--1114},
  - publisher = {Pergamon}
  - }
- Namrata Tomar, Olivia Choudhury, Ankush Chakrabarty and Rajat K De, "An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach", Molecular biology reports, Vol. 40, No. 2, pp. 1103-1125, 2013.
  BibTeX
  - @Article{tomar2013integrated,
  - author = {Tomar, Namrata and Choudhury, Olivia and Chakrabarty, Ankush and De, Rajat K},
  - title = {An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach},
  - journal = {Molecular biology reports},
  - year = 2013,
  - volume = 40,
  - number = 2,
  - pages = {1103--1125},
  - publisher = {Springer Netherlands}
  - }
- Ankush Chakrabarty, Olivia Choudhury, Pallab Sarkar, Avishek Paul and Debarghya Sarkar, "Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting", Artificial Intelligence Research, Vol. 1, No. 1, pp. 63, 2012.
  BibTeX
  - @Article{chakrabarty2012hyperspectral,
  - author = {Chakrabarty, Ankush and Choudhury, Olivia and Sarkar, Pallab and Paul, Avishek and Sarkar, Debarghya},
  - title = {Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting},
  - journal = {Artificial Intelligence Research},
  - year = 2012,
  - volume = 1,
  - number = 1,
  - pages = 63
  - }
- Suvadeep Banerjee, Ankush Chakrabarty, Sayan Maity and Amitava Chatterjee, "Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation", Applied Soft Computing, Vol. 11, No. 4, pp. 3441-3450, 2011.
  BibTeX
  - @Article{banerjee2011feedback,
  - author = {Banerjee, Suvadeep and Chakrabarty, Ankush and Maity, Sayan and Chatterjee, Amitava},
  - title = {Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation},
  - journal = {Applied Soft Computing},
  - year = 2011,
  - volume = 11,
  - number = 4,
  - pages = {3441--3450},
  - publisher = {Elsevier}
  - }
MERL Issued Patents
- Title: "Controlling Vapor Compression System Using Probabilistic Surrogate Model"
  Inventors: Chakrabarty, Ankush; Laughman, Christopher; Bortoff, Scott A.
  Patent No.: 11,573,023
  Issue Date: Feb 7, 2023
- Title: "Control of Autonomous Vehicles Adaptive to User Driving Preferences"
  Inventors: Kalabic, Uros; Chakrabarty, Ankush; Di Cairano, Stefano
  Patent No.: 11,548,520
  Issue Date: Jan 10, 2023
- Title: "Extremum Seeking Control with Stochastic Gradient Estimation"
  Inventors: Chakrabarty, Ankush; Danielson, Claus; Bortoff, Scott A.; Laughman, Christopher
  Patent No.: 11,467,544
  Issue Date: Oct 11, 2022
- Title: "System and Method for Feasibly Positioning Servomotors with Unmodeled Dynamics"
  Inventors: Chakrabarty, Ankush; Danielson, Claus; Wang, Yebin
  Patent No.: 11,392,104
  Issue Date: Jul 19, 2022
- Title: "System and Method for Data-Driven Control of Constrained System"
  Inventors: Chakrabarty, Ankush; Quirynen, Rien; Danielson, Claus; Gao, Weinan
  Patent No.: 11,106,189
  Issue Date: Aug 31, 2021
- Title: "Network Adapted Control System"
  Inventors: Guo, Jianlin; Ma, Yehan; Wang, Yebin; Chakrabarty, Ankush; Ahn, Heejin; Orlik, Philip V.
  Patent No.: 10,969,767
  Issue Date: Apr 6, 2021
- Title: "System and Method for Control Constrained Operation of Machine with Partially Unmodeled Dynamics"
  Inventors: Chakrabarty, Ankush; Jha, Devesh; Wang, Yebin
  Patent No.: 10,895,854
  Issue Date: Jan 19, 2021
See All Patents for MERL

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Ankush Chakrabarty

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MS2012: Residual Model Learning for Building Energy Systems

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