I am not fond of declaring a paper publicly (via arxiv or researchgate) before it gets third-party peer reviewed. Because of this all the papers here are either already published or accepted for publication. So all that said, here is the list of papers (I update the list pretty frequently).
Kandakatla, A. R., Chandan, V., Kundu, S., Chakraborty, I., Cook, K., & Dasgupta, A. (2020, October). Towards Trust-Augmented Visual Analytics for Data-Driven Energy Modeling. In 2020 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX) (pp. 16-21). IEEE.
Radhakrishnan, N., I. Chakraborty, J. Xie, P. Mana, F. Tuffner, B. Bhattarai, and K. Schneider. "Improving Primary Frequency Response in Networked Microgrid Operations using MLP-Driven Reinforcement Learning". in IET Smart Grid, 2020.
Chakraborty, I., Y. Chen, J. Li, and D. Vrabie. 2020 "Theoretical Development of Controller Transfer applied to Dynamical Systems". in ACM e-Energy, 2020, Australia
Chakraborty, I., S. Nandanoori, S. Kundu, and K. Kalsi. 2020 "Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder." in American Control Conference (ACC), 2020, Denver.
Thayer B.L., D.W. Engel, I. Chakraborty, K.P. Schneider, L. Ponder, and K. Fox. 2020. "Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data." In Hawaii International Conference on System Sciences (HICSS), 2020, Hawaii.
Nandanoori S., I. Chakraborty, T. Ramachandran, and S. Kundu. 2019. "Identification and Validation of Virtual Battery Model for Heterogeneous Devices." In PES General Meeting 2019, Atlanta, GA.
Hong W., I. Chakraborty, and H. Wang. 2019. "Parameter Co-optimization for Hybrid Electric Vehicles Powertrain System Leveraging V2V/V2I Information." In 2019 International Conference on Advanced Mechatronic Systems (ICAMechS), Japan. https://ieeexplore.ieee.org/document/8861667
Hong W., I. Chakraborty, and H. Wang. 2019. "Parametric Optimization Problem Formulation for Connected Hybrid Electric Vehicles using Neural Network based Equivalent Model." In 2019 IEEE 90th Vehicular Technology Conference (VTC), Hawaii. https://www.osti.gov/biblio/1566975
Chakraborty, I., S. Kundu, and K. Kalsi. "Modeling Flexibility in Uncertain Distributed Energy Resources." Proceedings of the Tenth ACM International Conference on Future Energy Systems. ACM, 2019, Phoenix, AZ. https://dl.acm.org/citation.cfm?id=3307772.3330165
Chakraborty, Indrasis, Vikas Chandan, and Draguna Vrabie. "A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation." Proceedings of the Tenth ACM International Conference on Future Energy Systems. ACM, 2019, Phoenix, AZ. https://dl.acm.org/citation.cfm?id=3331027
Chakraborty, Indrasis, et al. "Cross-Categorical Transfer Learning based Composite Load Protection Modeling." Proceedings of the Tenth ACM International Conference on Future Energy Systems. ACM, 2019, Phoenix, AZ. https://dl.acm.org/citation.cfm?id=3331026
Chakraborty, Indrasis, Sai Pushpak Nandanoori, and Soumya Kundu. "Virtual battery parameter identification using transfer learning based stacked autoencoder." 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2018, Orlando, FL. https://ieeexplore.ieee.org/abstract/document/8614231
Chakraborty, Indrasis, and D. Vrabie. "Fault Detection for Dynamical Systems using Differential Geometric and Concurrent Learning Approach." IFAC-PapersOnLine 51.24 (2018): 1395-1402. https://www.sciencedirect.com/science/article/pii/S2405896318322444
Chakraborty, Indrasis, Rudrasis Chakraborty, and Draguna Vrabie. "Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems." arXiv preprint arXiv:1804.05320 (2018). https://arxiv.org/abs/1804.05320
Chakraborty, Indrasis, et al. "2.5 D visual servo control in the presence of time-varying state and input delays." 2017 American Control Conference (ACC). IEEE, 2017, Seattle, WA. https://ieeexplore.ieee.org/abstract/document/7963527
Chakraborty, Indrasis, et al. "Control of an input delayed uncertain nonlinear system with adaptive delay estimation." 2017 American Control Conference (ACC). IEEE, 2017, Seattle, WA. https://ieeexplore.ieee.org/abstract/document/7963210
Chakraborty, Indrasis, Serhat Obuz, and Warren E. Dixon. "Image-based tracking control in the presence of time-varying input and state delays." 2016 IEEE Conference on Control Applications (CCA). IEEE, 2016, Buenos Aires. https://ieeexplore.ieee.org/abstract/document/7587994
Bialy, B. J., et al. "Adaptive boundary control of store induced oscillations in a flexible aircraft wing." Automatica 70 (2016): 230-238. https://www.sciencedirect.com/science/article/pii/S0005109816301261
Chakraborty, Indrasis, et al. "Control of an uncertain euler-lagrange system with known time-varying input delay: A pde-based approach." 2016 American Control Conference (ACC). IEEE, 2016, Boston, MA. https://ieeexplore.ieee.org/abstract/document/7525605
Chakraborty, Indrasis, et al. "Compensating for time-varying input and state delays inherent to image-based control systems." 2016 American Control Conference (ACC). IEEE, 2016, Boston, MA. https://ieeexplore.ieee.org/abstract/document/7524895
Obuz, S., et al. "Lyapunov-based control of an uncertain euler-lagrange system with uncertain time-varying input delays without delay rate constraints." IFAC-PapersOnLine 49.10 (2016): 141-146. https://www.sciencedirect.com/science/article/pii/S2405896316307200
Chakraborty, I., S. Obuz, and W. E. Dixon. "Control of an uncertain nonlinear system with known time-varying input delays with arbitrary delay rates." IFAC-PapersOnLine 49.18 (2016): 522-527. https://www.sciencedirect.com/science/article/pii/S2405896316317980
Chakraborty I., S. Nandanoori, and S. Kundu. 2019. "Data-driven Predictive Flexibility Modeling of Distributed Energy Resources." In Artificial Intelligence Techniques for a Scalable Energy Transition: Advanced Methods, Digital Technologies, Decision Support Tools, and Applications (published in December 2019).
Chakraborty I., S. Nandanoori, S. Kundu, K. Kalsi “Deep Learning Methods for Identifying Flexibility Models of Grid Responsive Resources” IP ID No. 31725-E