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Indrasis Chakraborty

Indrasis Chakraborty

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 375-5920

Biography

Indrasis graduated with a PhD in Mechanical Engineering along with a Master of Science and Master of Arts from Mechanical Engineering and Applied Mathematics, respectively in December 2017. His PhD dissertation is focused on developing nonlinear control and optimization strategies for nonlinear time delayed systems and flexible systems. Indrasis got Outstanding Graduate Researcher Award during the year 2017. He spent summer 2017 in PNNL, as a PhD intern, working with Dr. Draguna Vrabie.

Research Interests

  • Nonlinear Control
  • Optimization Methods
  • Deep Learning
  • Fault Detection
  • Time-Delayed Systems

Awards and Recognitions

  • UF MAE Best Graduate Researcher Award, University of Florida, 2017
  • Outstanding Achievement Award, University of Florida, 2015

PNNL Publications

2019

  • Chakraborty I., S. Kundu, Y. Liu, and P.V. Etingov. 2019. "Cross-Categorical Transfer Learning based Composite Load Protection Modeling." In Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy 2019), June 25-28, 2019, Phoenix, AZ. New York, New York:ACM. PNNL-SA-141727. doi:10.1145/3307772.3331026
  • Chakraborty I., V. Chandan, and D.L. Vrabie. 2019. "A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation." In Proceedings of the Tenth ACM International Conference on Future Energy Systems (e-Energy 2019), June 25-28, 2019, Phoenix, AZ, 508-515. New York, New York:ACM. PNNL-SA-141775. doi:10.1145/3307772.3331027

2018

  • Chakraborty I., and D.L. Vrabie. 2018. "Fault Detection for Dynamical Systems using Differential Geometric and Concurrent Learning Approach." IFAC- PapersOnLine 51, no. 24:1395-1402. PNNL-SA-129423. doi:10.1016/j.ifacol.2018.09.552
  • Chakraborty I., R. Chakraborty, and D.L. Vrabie. 2018. "Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems." In 29th International Workshop on Principles of Diagnosis (DX'18), August 27-30, 2018, Warsaw, Poland, edited by L Trave-Massuyes and A Sztyber, 2289. Aachen:Aachen RWTH. PNNL-SA-134059.
  • Chakraborty I., S. Nandanoori, and S. Kundu. 2018. "Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder." In 17th IEEE International Conference on Machine Learning and Applications (ICMLA 2018), December 17-20, 2018, Orlando, Florida. Piscataway, New Jersey:IEEE. PNNL-SA-137721. doi:10.1109/ICMLA.2018.00206

Selected Publications

2017

  • Chakraborty, I., Mehta, S.S., Doucette, E. and Dixon, W.E., 2017, May. 2.5 D visual servo control in the presence of time-varying state and input delays. In American Control Conference (ACC), 2017 (pp. 3741-3746). IEEE.
  • Chakraborty, I., Mehta, S.S., Doucette, E. and Dixon, W.E., 2017, May. Control of an input delayed uncertain nonlinear system with adaptive delay estimation. In American Control Conference (ACC), 2017 (pp. 1779-1784). IEEE.

2016

  • Bialy, B.J., Chakraborty, I., Cekic, S.C. and Dixon, W.E., 2016. Adaptive boundary control of store induced oscillations in a flexible aircraft wing. Automatica, 70, pp.230-238.
  • Chakraborty, I., Mehta, S.S., Curtis, J.W. and Dixon, W.E., 2016, July. Compensating for time-varying input and state delays inherent to image-based control systems. In American Control Conference (ACC), 2016 (pp. 78-83). IEEE.
  • Chakraborty, I., Obuz, S. and Dixon, W.E., 2016, September. Image-based tracking control in the presence of time-varying input and state delays. In Control Applications (CCA), 2016 IEEE Conference on (pp. 1350-1355). IEEE.
  • Chakraborty, I., Obuz, S. and Dixon, W.E., 2016. Control of an uncertain nonlinear system with known time-varying input delays with arbitrary delay rates. IFAC-PapersOnLine, 49(18), pp.522-527.
  • Chakraborty, I., Obuz, S., Licitra, R. and Dixon, W.E., 2016, July. Control of an uncertain Euler-Lagrange system with known time-varying input delay: A pde-based approach. In American Control Conference (ACC), 2016 (pp. 4344-4349). IEEE.
  • Obuz, S., Parikh, A., Chakraborty, I. and Dixon, W.E., 2016. Lyapunov-based control of an uncertain euler-lagrange system with uncertain time-varying input delays without delay rate constraints. IFAC-PapersOnLine, 49(10), pp.141-146.

Energy and Environment

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