Preprint

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

  2. Prabhat K. Mishra, Joel A. Paulson, and Richard D. Braatz, Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions, 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, 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

Articles on arXiv