1 citations · 1 across the 5 of their papers we have counts for
5 papers
Sparse Robust Optimal Control in Continuous-Time: A Computationally Viable Approach
Siddhartha Ganguly, Ashwin Aravind, Souvik Das +2
This article presents a novel, numerically viable algorithm for solving sparse robust optimal control problems in continuous time. We consider a constrained linear noisy system gov…
Data-driven distributionally robust MPC for systems with multiplicative noise: A semi-infinite semi-definite programming approach
Souvik Das, Siddhartha Ganguly, Ashwin Aravind +1
This article introduces a novel distributionally robust model predictive control (DRMPC) algorithm for a specific class of controlled dynamical systems where the disturbance multip…
Distributed alternating gradient descent for convex semi-infinite programs over a network
Ashwin Aravind, Debasish Chatterjee, Ashish Cherukuri
This paper presents a first-order distributed algorithm for solving a convex semi-infinite program (SIP) over a time-varying network. In this setting, the objective function associ…
A Moreau Envelope Approach for LQR Meta-Policy Estimation
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
We study the problem of policy estimation for the Linear Quadratic Regulator (LQR) in discrete-time linear time-invariant uncertain dynamical systems. We propose a Moreau Envelope-…
Cross apprenticeship learning framework: Properties and solution approaches
Ashwin Aravind, Debasish Chatterjee, Ashish Cherukuri
Apprenticeship learning is a framework in which an agent learns a policy to perform a given task in an environment using example trajectories provided by an expert. In the real wor…