News & Announcements

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  • July 2023: Our paper is accepted in CDC 2023.

Prabhat Kumar Mishra

I am an Assistant Professor at the Indian Institute of Technology Kharagpur (IITKgp), India, and currently working at the intersection of control and learning. I am developing algorithms for autonomous systems to make them smarter with the help of data and distribution. I use control theory to provide safety certificates.

I did PhD from the Indian Institute of Technology Bombay (IITB), India, on Stochastic Model Predictive Control (MPC) for Cyber Physical Systems. During my PhD, I received a Swiss Government Excellence Scholarship to study at the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, for one year. I learnt Gaussian process regression and implemented stochastic MPC on a quadcopter during my stay at EPFL. Before joining IITKgp, I was a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), USA, and working on polynomial chaos theory for biomedical applications. Prior to that, I was a Postdoctoral Research Asssociate at the University of Illinois at Urbana Champaign (UIUC), USA, where we developed a couple of deep learning supported MPC algorithms and a constrained estimator.

Education & Experience

  • Sep 2023 - present: Assistant Professor, IIT Kharagpur, India
  • Feb 2023 - Aug 2023: Postdoctoral Associate, Massachusetts Institute of Technology, USA
  • Apr 2019 - Jan 2023: Postdoctoral Research Associate, University of Illinois at Urbana Champaign, USA
  • Sep 2017 - Aug 2018: Visiting PhD student and Research Scientist, Ecole Polytechnique Federale de Lausanne, Switzerland
  • July 2013 - Mar 2019: PhD student, Indian Institute of Technology Bombay, India

Awards

  1. 2022: Excellent Reviewer, Journal of Guidance, Control, and Dynamics
  2. 2018: Outstanding reviewer award, Systems and Control Letters
  3. 2017: Swiss Government Excellence Scholarship
  4. 2017: Top reviewer for IIT Bombay (Chemical Engineering), Web of Science

Outreach

  1. Member of the Humanitarian Technology Board (HTB) project proposals, IEEE
  2. Member of the Chancellor's Innovation Fund Review Committee, MIT, USA
  3. Member of the Search committee for research scientist, National Center for Supercomputing Applications, UIUC, USA
  4. Reviewer of
    1. IEEE Transactions on Neural Networks and Learning Systems
    2. Automatica
    3. IEEE Transactions on Automatic Control
    4. Systems & Control Letters
    5. International Journal of Robust and Nonlinear Control
    6. Journal of Process Control
    7. IEEE Transactions on Nuclear Science
    8. IET Control Theory & Applications
    9. IEEE Control Systems Letters
    10. Conference on Decision and Control
    11. IFAC World Congress
    12. Indian Control Conference
    13. IEEE Conference on Control Technology and Applications
    14. American Control Conference, European Control Conference
    15. IFAC Symposium on Nonlinear Control Systems

Collaborating Organizations

Mentors

Richard D. Braatz

MIT, USA

Girish Chowdhary

UIUC, USA

Debasish Chatterjee

IITB, India

Daniel Quevedo

QUT, Australia

Prashant Mehta

UIUC, USA

Colin Jones

EPFL, Switzerland

Collaborators

Andres E. Baquero

EarthSense, USA

Leena Vachhani

IITB, India

Mateus V. Gasparino

UIUC, USA

Mattia Gazzola

UIUC, USA

Sahaj Saxena

Thapar Univ, India

Sanket Diwale

MIT, USA

Tixian Wang

UIUC, USA

Atreyee Kundu

IITKgp, India

Rolf Findeisen

TUD, Germany

Publications

Preprint

  1. Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velsasquez, Girish Chowdhary, " Deep model predictive control with stability guarantees", under review.

Journal

  1. Prabhat K. Mishra, Girish Chowdhary, Prashant G. Mehta, " Minimum variance constrained estimator", Automatica, Volume 137, 2022.

  2. Prabhat K. Mishra, Sanket S. Diwale, Colin N. Jones, Debasish Chatterjee, " Reference tracking stochastic model predictive control over unreliable channels and bounded control actions", Automatica, Volume 127, 2021.

  3. Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,"Stochastic predictive control under intermittent observations and unreliable actions", Automatica, Volume 118, 2020.

  4. Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo, "Sparse and constrained stochastic predictive control for networked systems", Automatica,Vol. 87, pp. 40-51, 2018.

  5. Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo, " Stabilizing stochastic predictive control under Bernoulli dropouts", IEEE Transactions on Automatic Control, Vol. 63, Issue 6, pp. 1579-1590, 2018.

  6. Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,"Output feedback stable stochastic predictive control with hard control constraints", IEEE Control Systems Letters, Volume 1, Issue 2, 2017, p.p. 382 - 387.

  7. Prabhat K. Mishra, Debasish Chatterjee, and Daniel E. Quevedo, "Resource efficient stochastic predictive control under packet dropouts", IET Control Theory & Applications, Volume 11, Issue 11, 2017, pp. 1666-1673.

Conference

  1. Mateus V. Gasparino, Prabhat K. Mishra, Girish Chowdhary, "Unmatched uncertainty mitigation through neural network supported model predictive control", accepted IEEE Conference on Decision and Control (CDC) 2023.

  2. Prabhat K. Mishra, Tixian Wang, Mattia Gazzola, Girish Chowdhary, " Centralized model predictive control with distributed adaptation", IEEE Conference on Decision and Control (CDC), 2020.

  3. Prabhat K. Mishra, Daniel E. Quevedo, Debasish Chatterjee, " Dropout feedback parametrized policies for stochastic predictive controller" , IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2016

  4. Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo, " Stable stochastic predictive controller under unreliable up-link" , European Control Conference (ECC), 2016.

  5. Atreyee Kundu, Prabhat K. Mishra, Debasish Chatterjee, " Stabilizing discrete time switched systems with inputs" , IEEE conference on Decision and Control (CDC), 2015.

  6. Daniel E. Quevedo, Prabhat K. Mishra, R. Findeisen, Debasish Chatterjee, " A stochastic model predictive controller for systems with unreliable communication" , IFAC conference on Nonlinear Model Predictive Control (NMPC), 2015.

  7. Prabhat K. Mishra, Leena Vachhani, Debasish Chatterjee, " Event triggered green control for discrete time dynamical systems", European Control Conference (ECC), 2015.

Workshop

  1. Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velsasquez, Girish Chowdhary, " Deep model predictive control",CoRL'22: workshop on Learnng to Adapt and Improve in Real Time.

Other writings

  1. Prabhat K. Mishra, Sahaj Saxena, Microwave Tubes Making a Comeback, Electronics for you, November 2011, Vol 43 No. 11

  2. Sahaj Saxena, Prabhat K. Mishra, Organic Electronics starts a new era, Electronics For You, September 2010, Vol. 42 No. 9

  3. Sahaj Saxena, Prabhat K. Mishra, Powering nano devices, Electronics For You, Dec 2009, Vol. 41, No. 12

Contact

Address

Centre of Excellence in Artificial Intelligence,
Nalanda complex, Indian Institute of Technology Kharagpur,
Kharagpur, India - 721302