Ankush Chakrabarty
Orcid: 0000-0001-9637-854X
According to our database1,
Ankush Chakrabarty
authored at least 71 papers
between 2011 and 2023.
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Bibliography
2023
Simulation Failure-Robust Bayesian Optimization for Data-Driven Parameter Estimation.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
IEEE Trans. Syst. Man Cybern. Syst., 2023
Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States.
IEEE Control. Syst. Lett., 2023
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning.
CoRR, 2023
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints.
CoRR, 2023
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems.
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
Learning Residual Dynamics via Physics-Augmented Neural Networks: Application to Vapor Compression Cycles.
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Cybern., 2022
IEEE Trans. Control. Syst. Technol., 2022
IFAC J. Syst. Control., 2022
CoRR, 2022
CoRR, 2022
IEEE Access, 2022
PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the IEEE Conference on Control Technology and Applications, 2022
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints.
Proceedings of the American Control Conference, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins.
CoRR, 2021
Safe learning-based observers for unknown nonlinear systems using Bayesian optimization.
Autom., 2021
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021
Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Vehicle Center-of-Gravity Height and Dynamics Estimation with Uncertainty Quantification by Marginalized Particle Filter.
Proceedings of the 2021 American Control Conference, 2021
2020
Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power.
IEEE Trans. Control. Syst. Technol., 2020
IEEE Trans. Control. Syst. Technol., 2020
Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control.
Autom., 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Learning autonomous vehicle passengers' preferred driving styles using g-g plots and haptic feedback.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning.
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE Trans. Biomed. Eng., 2018
Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions.
SIAM J. Control. Optim., 2018
Autom., 2018
Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Deep Learning Assisted Macronutrient Estimation For Feedforward-Feedback Control In Artificial Pancreas Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multiclass Support Vector Machines.
IEEE Trans. Ind. Electron., 2017
Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences.
IEEE Trans. Autom. Control., 2017
State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs.
IEEE Trans. Autom. Control., 2017
Delayed unknown input observers for discrete-time linear systems with guaranteed performance.
Syst. Control. Lett., 2017
Model predictive control with event-triggered communication for an embedded artificial pancreas.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices.
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
Reducing controller updates via event-triggered model predictive control in an embedded artificial pancreas.
Proceedings of the 2017 American Control Conference, 2017
2016
Nonfragile Fault-Tolerant Fuzzy Observer-Based Controller Design for Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Unknown input estimation via observers for nonlinear systems with measurement delays.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Simultaneous Unknown Input And Sensor Noise Reconstruction For Nonlinear Systems With Boundary Layer Sliding Mode Observers.
CoRR, 2015
2014
Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the American Control Conference, 2014
2013
Eng. Appl. Artif. Intell., 2013
Treating acute myeloid leukemia via HSC transplantation: A preliminary study of multi-objective personalization strategies.
Proceedings of the American Control Conference, 2013
2012
Hyperspectral image classification incorporating bacterial foraging-optimized spectral weighting.
Artif. Intell. Res., 2012
2011
Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation.
Appl. Soft Comput., 2011