19 citations · 49 across the 13 of their papers we have counts for
13 papers
LQG solution for POMDP without estimating states: A minimum variance approach
Ranjan Sarkar, Prabhat K. Mishra
This paper investigates the control of discrete-time linear time-invariant (LTI) systems subject to incomplete and corrupted measurements. Specifically, we focus on designing a Lin…
Algorithmic design and implementation considerations of deep MPC
Prabhat K. Mishra, Mateus V. Gasparino, Girish Chowdhary
Deep Model Predictive Control (Deep MPC) is an evolving field that integrates model predictive control and deep learning. This manuscript is focused on a particular approach, which…
Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions
Prabhat K. Mishra, Joel A. Paulson, Richard D. Braatz
This article is devoted to providing a review of mathematical formulations in which Polynomial Chaos Theory (PCT) has been incorporated into stochastic model predictive control (SM…
Unmatched uncertainty mitigation through neural network supported model predictive control
Mateus V. Gasparino, Prabhat K. Mishra, Girish Chowdhary
This paper presents a deep learning based model predictive control (MPC) algorithm for systems with unmatched and bounded state-action dependent uncertainties of unknown structure.…
Deep Model Predictive Control
Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velasquez +1
This paper presents a deep learning based model predictive control algorithm for control affine nonlinear discrete time systems with matched and bounded state-dependent uncertainti…
Deep Model Predictive Control with Stability Guarantees
Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velsasquez +1
This paper presents a deep learning based model predictive control algorithm for control affine nonlinear discrete time systems with matched and bounded state dependent uncertainti…