deterministic optimization 1linear quadratic gaussian 1minimum variance 1partial observability 1state estimation avoidance 1
From the 1 of 3 linked papers with an AI index.
3 papers
math.OC2026
LQG solution for POMDP without estimating states: A minimum variance approach
Ranjan Sarkar, Prabhat K. Mishra
The paper proposes a method to design a Linear Quadratic Gaussian controller for discrete-time linear systems with noisy and incomplete measurements that avoids explicit state esti…
eess.SY2026
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…
eess.SY2025
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…