Ankush Chakrabarty

- Phone: 617-758-6175
- Email:
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Position:
Research / Technical Staff
Research Scientist -
Education:
Ph.D., Purdue University, 2016 -
Research Areas:
External Links:
Ankush's Quick Links
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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.
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Recent News & Events
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NEWS Ankush Chakrabarty gave an invited talk at University of Illinois at Chicago Date: April 9, 2021
MERL Contact: Ankush Chakrabarty
Research Areas: Control, Machine Learning, Multi-Physical Modeling, OptimizationBrief- Ankush Chakrabarty, a Research Scientist at MERL's Multiphysical Systems (MS) Team, gave an invited talk on "Learning for Control and Estimation using Digital Twins" at the Department of Electrical and Computer Engineering Seminar Series organized at UIC. The talk proposed new learning-based control/estimation architectures that can utilize simulation data obtained from digital twins to add self-optimization and constraint-enforcement features to grey/black-box control systems.
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NEWS MERL Researcher Ankush Chakrabarty organized a special session on data-driven control at IEEE CCTA 2020 Date: August 25, 2020
MERL Contact: Ankush Chakrabarty
Research Areas: Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Machine Learning, Optimization, RoboticsBrief- Ankush Chakrabarty co-organized an invited session on “Data-Driven Control For Industrial Applications” at the IEEE Conference on Control Technology and Applications with Shahin Shahrampour (Asst. Prof., Texas A&M). Talks covered topics including reinforcement learning for aerospace systems, constrained reinforcement learning for motors, deep Q learning for traffic systems and participants included speakers from Stanford University, North Carolina State University, Texas A&M, Oklahoma State University, University of Science and Technology at Beijing, and TU Delft.
MERL presented research (Chakrabarty, Danielson, Wang) on constraint-enforcing output-tracking with approximate dynamic programming for servomotor systems.
- Ankush Chakrabarty co-organized an invited session on “Data-Driven Control For Industrial Applications” at the IEEE Conference on Control Technology and Applications with Shahin Shahrampour (Asst. Prof., Texas A&M). Talks covered topics including reinforcement learning for aerospace systems, constrained reinforcement learning for motors, deep Q learning for traffic systems and participants included speakers from Stanford University, North Carolina State University, Texas A&M, Oklahoma State University, University of Science and Technology at Beijing, and TU Delft.
See All News & Events for Ankush -
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MERL Publications
- "Active Learning for Estimating Reachable Sets for Systems with Unknown Dynamics", IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.3000966, December 2020.BibTeX TR2020-164 PDF
- @article{Chakrabarty2020dec,
- author = {Chakrabarty, Ankush and Raghunathan, Arvind and Di Cairano, Stefano and Danielson, Claus},
- title = {Active Learning for Estimating Reachable Sets for Systems with Unknown Dynamics},
- journal = {IEEE Transactions on Cybernetics},
- year = 2020,
- month = dec,
- doi = {10.1109/TCYB.2020.3000966},
- url = {https://www.merl.com/publications/TR2020-164}
- }
, - "Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems", IEEE Conference on Control Technology and Applications, DOI: 10.1109/CCTA41146.2020.9206315, August 2020, pp. 352-357.BibTeX TR2020-116 PDF
- @inproceedings{Chakrabarty2020aug,
- author = {Chakrabarty, Ankush and Danielson, Claus and Wang, Yebin},
- title = {Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems},
- booktitle = {IEEE Conference on Control Technology and Applications},
- year = 2020,
- pages = {352--357},
- month = aug,
- publisher = {IEEE},
- doi = {10.1109/CCTA41146.2020.9206315},
- url = {https://www.merl.com/publications/TR2020-116}
- }
, - "Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation", IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.2978805, July 2020.BibTeX TR2020-108 PDF
- @article{Chakrabarty2020jul2,
- author = {Chakrabarty, Ankush and Jha, Devesh and Buzzard, Gregery T. and Wang, Yebin and Vamvoudakis, Kyriakos},
- title = {Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation},
- journal = {IEEE Transactions on Neural Networks and Learning Systems},
- year = 2020,
- month = jul,
- doi = {10.1109/TNNLS.2020.2978805},
- url = {https://www.merl.com/publications/TR2020-108}
- }
, - "Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147823, July 2020, pp. 2351-2356.BibTeX TR2020-091 PDF
- @inproceedings{Vijayshankar2020jul,
- author = {Vijayshankar, Sanjana and Nabi, Saleh and Chakrabarty, Ankush and Grover, Piyush and Benosman, Mouhacine},
- title = {Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow},
- booktitle = {American Control Conference (ACC)},
- year = 2020,
- pages = {2351--2356},
- month = jul,
- publisher = {IEEE},
- doi = {10.23919/ACC45564.2020.9147823},
- issn = {2378-5861},
- isbn = {978-1-5386-8266-1},
- url = {https://www.merl.com/publications/TR2020-091}
- }
, - "Learning-based Parameter-Adaptive Reference Governors", American Control Conference (ACC), DOI: 10.23919/ACC45564.2020.9147615, July 2020, pp. 956-961.BibTeX TR2020-092 PDF
- @inproceedings{Chakrabarty2020jul,
- author = {Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
- title = {Learning-based Parameter-Adaptive Reference Governors},
- booktitle = {American Control Conference (ACC)},
- year = 2020,
- pages = {956--961},
- month = jul,
- publisher = {IEEE},
- doi = {10.23919/ACC45564.2020.9147615},
- url = {https://www.merl.com/publications/TR2020-092}
- }
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- "Active Learning for Estimating Reachable Sets for Systems with Unknown Dynamics", IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.3000966, December 2020.
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Other Publications
- "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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
- }
, - "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}
- }
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- "State and unknown input observers for nonlinear systems with delayed measurements", Automatica, Vol. 95, pp. 246-253, 2018.
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MERL Issued Patents
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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
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Title: "Network Adapted Control System"