5 citations · 16 across the 12 of their papers we have counts for
4 papers · 1 filter
A Two-Stage, Model-Based Reinforcement Learning Approach for Active Flow Control of Bluff Body Wakes
Aayushman Sharma, Suman Chakravorty
This paper develops a data-driven, output-feedback approach to the infinite-horizon optimal control of high-dimensional nonlinear systems with unknown and unstable equilibria, usin…
A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations
Aayushman Sharma, Suman Chakravorty
In this paper, we introduce a reduced order model-based reinforcement learning (MBRL) approach, utilizing the Iterative Linear Quadratic Regulator (ILQR) algorithm for the optimal…
Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)
Saman Mostafavi, Chihyeon Song, Aayushman Sharma +2
We present a data-driven modeling and control framework for physics-based building emulators. Our approach consists of: (a) Offline training of differentiable surrogate models that…
Optimal Control of Material Micro-Structures
Aayushman Sharma, Zirui Mao, Haiying Yang +3
In this paper, we consider the optimal control of material micro-structures. Such material micro-structures are modeled by the so-called phase field model. We study the underlying…