News & Announcements
- [pinned] Students interested in an internship at PSALM Lab are suggested to attend at least one course offered by me before contacting. Please use your institute email id.
- [pinned] Please contact here if you need my help in fulfilling a partial requirement of your degree. Please use your institute email id.
- 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
- 2022: Excellent Reviewer, Journal of Guidance, Control, and Dynamics
- 2018: Outstanding reviewer award, Systems and Control Letters
- 2017: Swiss Government Excellence Scholarship
- 2017: Top reviewer for IIT Bombay (Chemical Engineering), Web of Science
Outreach
- Member of the Humanitarian Technology Board (HTB) project proposals, IEEE
- Member of the Chancellor's Innovation Fund Review Committee, MIT, USA
- Member of the Search committee for research scientist, National Center for Supercomputing Applications, UIUC, USA
- Reviewer of
- IEEE Transactions on Neural Networks and Learning Systems
- Automatica
- IEEE Transactions on Automatic Control
- Systems & Control Letters
- International Journal of Robust and Nonlinear Control
- Journal of Process Control
- IEEE Transactions on Nuclear Science
- IET Control Theory & Applications
- IEEE Control Systems Letters
- Conference on Decision and Control
- IFAC World Congress
- Indian Control Conference
- IEEE Conference on Control Technology and Applications
- American Control Conference, European Control Conference
- IFAC Symposium on Nonlinear Control Systems
Collaborating Organizations
Mentors
Richard D. Braatz
MIT, USAGirish Chowdhary
UIUC, USADebasish Chatterjee
IITB, IndiaDaniel Quevedo
QUT, AustraliaPrashant Mehta
UIUC, USAColin Jones
EPFL, SwitzerlandCollaborators
Andres E. Baquero
EarthSense, USALeena Vachhani
IITB, IndiaMateus V. Gasparino
UIUC, USAMattia Gazzola
UIUC, USASahaj Saxena
Thapar Univ, IndiaSanket Diwale
MIT, USATixian Wang
UIUC, USAAtreyee Kundu
IITKgp, IndiaRolf Findeisen
TUD, GermanyPublications
Preprint
Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velsasquez, Girish Chowdhary, " Deep model predictive control with stability guarantees", under review.
Journal
Prabhat K. Mishra, Girish Chowdhary, Prashant G. Mehta, " Minimum variance constrained estimator", Automatica, Volume 137, 2022.
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.
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,"Stochastic predictive control under intermittent observations and unreliable actions", Automatica, Volume 118, 2020.
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,
"Sparse and constrained stochastic predictive control for networked systems", Automatica,Vol. 87, pp. 40-51, 2018.
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.
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.
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
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.
Prabhat K. Mishra, Tixian Wang, Mattia Gazzola, Girish Chowdhary, " Centralized model predictive control with distributed adaptation", IEEE Conference on Decision and Control (CDC), 2020.
Prabhat K. Mishra, Daniel E. Quevedo, Debasish Chatterjee,
" Dropout feedback parametrized policies for stochastic predictive controller" ,
IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2016
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,
" Stable stochastic predictive controller under unreliable up-link" ,
European Control Conference (ECC), 2016.
Atreyee Kundu, Prabhat K. Mishra, Debasish Chatterjee,
" Stabilizing discrete time switched systems with inputs" , IEEE conference on Decision and Control (CDC), 2015.
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.
Prabhat K. Mishra, Leena Vachhani, Debasish Chatterjee,
" Event triggered green control for discrete time dynamical systems",
European Control Conference (ECC), 2015.
Workshop
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
Prabhat K. Mishra, Sahaj Saxena, Microwave Tubes Making a Comeback, Electronics for you, November 2011, Vol 43 No. 11
Sahaj Saxena, Prabhat K. Mishra, Organic Electronics starts a new era, Electronics For You, September 2010, Vol. 42 No. 9
Sahaj Saxena, Prabhat K. Mishra, Powering nano devices, Electronics For You, Dec 2009, Vol. 41, No. 12
Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velsasquez, Girish Chowdhary, " Deep model predictive control with stability guarantees", under review.
Prabhat K. Mishra, Girish Chowdhary, Prashant G. Mehta, " Minimum variance constrained estimator", Automatica, Volume 137, 2022.
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.
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,"Stochastic predictive control under intermittent observations and unreliable actions", Automatica, Volume 118, 2020.
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo, "Sparse and constrained stochastic predictive control for networked systems", Automatica,Vol. 87, pp. 40-51, 2018.
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.
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.
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
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.
Prabhat K. Mishra, Tixian Wang, Mattia Gazzola, Girish Chowdhary, " Centralized model predictive control with distributed adaptation", IEEE Conference on Decision and Control (CDC), 2020.
Prabhat K. Mishra, Daniel E. Quevedo, Debasish Chatterjee,
" Dropout feedback parametrized policies for stochastic predictive controller" ,
IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2016
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo,
" Stable stochastic predictive controller under unreliable up-link" ,
European Control Conference (ECC), 2016.
Atreyee Kundu, Prabhat K. Mishra, Debasish Chatterjee,
" Stabilizing discrete time switched systems with inputs" , IEEE conference on Decision and Control (CDC), 2015.
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.
Prabhat K. Mishra, Leena Vachhani, Debasish Chatterjee,
" Event triggered green control for discrete time dynamical systems",
European Control Conference (ECC), 2015.
Workshop
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
Prabhat K. Mishra, Sahaj Saxena, Microwave Tubes Making a Comeback, Electronics for you, November 2011, Vol 43 No. 11
Sahaj Saxena, Prabhat K. Mishra, Organic Electronics starts a new era, Electronics For You, September 2010, Vol. 42 No. 9
Sahaj Saxena, Prabhat K. Mishra, Powering nano devices, Electronics For You, Dec 2009, Vol. 41, No. 12
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.
Prabhat K. Mishra, Tixian Wang, Mattia Gazzola, Girish Chowdhary, " Centralized model predictive control with distributed adaptation", IEEE Conference on Decision and Control (CDC), 2020.
Prabhat K. Mishra, Daniel E. Quevedo, Debasish Chatterjee, " Dropout feedback parametrized policies for stochastic predictive controller" , IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2016
Prabhat K. Mishra, Debasish Chatterjee, Daniel E. Quevedo, " Stable stochastic predictive controller under unreliable up-link" , European Control Conference (ECC), 2016.
Atreyee Kundu, Prabhat K. Mishra, Debasish Chatterjee, " Stabilizing discrete time switched systems with inputs" , IEEE conference on Decision and Control (CDC), 2015.
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.
Prabhat K. Mishra, Leena Vachhani, Debasish Chatterjee, " Event triggered green control for discrete time dynamical systems", European Control Conference (ECC), 2015.
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
Prabhat K. Mishra, Sahaj Saxena, Microwave Tubes Making a Comeback, Electronics for you, November 2011, Vol 43 No. 11
Sahaj Saxena, Prabhat K. Mishra, Organic Electronics starts a new era, Electronics For You, September 2010, Vol. 42 No. 9
Sahaj Saxena, Prabhat K. Mishra, Powering nano devices, Electronics For You, Dec 2009, Vol. 41, No. 12
Prabhat K. Mishra, Sahaj Saxena, Microwave Tubes Making a Comeback, Electronics for you, November 2011, Vol 43 No. 11
Sahaj Saxena, Prabhat K. Mishra, Organic Electronics starts a new era, Electronics For You, September 2010, Vol. 42 No. 9
Sahaj Saxena, Prabhat K. Mishra, Powering nano devices, Electronics For You, Dec 2009, Vol. 41, No. 12