3 papers
eess.SY2026
Model-free LQG Control with Chance Constraints
Arunava Naha, Subhrakanti Dey
This paper studies model-free optimal control design and its convergence properties for linear time-invariant systems subject to probabilistic risk or chance constraints. In partic…
eess.SY2025
Convergence of Flow-Policy Gradient Learning for Linear Quadratic Regulator Problems
Farnaz Adib Yaghmaie, Arunava Naha
Flow -learning has recently been introduced to integrate learning from expert demonstrations into an actor-critic structure. Central to this innovation is the ``the one-step pol…
eess.SY2024
Policy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk Constraint
Arunava Naha, Subhrakanti Dey
In this paper, we investigate a model-free optimal control design that minimizes an infinite horizon average expected quadratic cost of states and control actions subject to a prob…