5 citations · 16 across the 12 of their papers we have counts for
12 papers
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…
Optimal Control with Lyapunov Stability Guarantees for Space Applications
Abhijeet, Mohamed Naveed Gul Mohamed, Aayushman Sharma +1
This paper investigates the infinite horizon optimal control problem (OCP) for space applications characterized by nonlinear dynamics. The proposed approach divides the problem int…
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…
Convexity in Optimal Control Problems
Abhijeet, Mohamed Naveed Gul Mohamed, Aayushman Sharma +1
This paper investigates the central role played by the Hamiltonian in continuous-time nonlinear optimal control problems. We show that the strict convexity of the Hamiltonian in th…
An Optimal Solution to Infinite Horizon Nonholonomic and Discounted Nonlinear Control Problems
Mohamed Naveed Gul Mohamed, Abhijeet, Aayushman Sharma +2
This paper considers the infinite horizon optimal control problem for nonlinear systems. Under the condition of nonlinear controllability of the system to any terminal set containi…
On Data-Driven Model Identification for Nonlinear Optimal Control
Aayushman Sharma, Suman Chakravorty
In this paper, we study the use of nonlinear model identification techniques for the optimal control of nonlinear systems, also known as model-based Reinforcement Learning. We show…
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…
Analysis of a Cesium lattice optical clock
A. Sharma, S. Kolkowitz, M. Saffman
We propose and analyze a Cesium lattice optical clock (CLOC) which has the potential for high performance and simple operation in a compact form factor using a forbidden optical tr…
An Information-state based Approach to the Optimal Output Feedback Control of Nonlinear Systems
Raman Goyal, Ran Wang, Mohamed Naveed Gul Mohamed +2
This paper develops a data-based approach to the closed-loop output feedback control of nonlinear dynamical systems with a partial nonlinear observation model. We propose an inform…
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR
Karthikeya S Parunandi, Aayushman Sharma, Suman Chakravorty +1
In this paper, we propose a structured linear parameterization of a feedback policy to solve the model-free stochastic optimal control problem. This parametrization is corroborated…
On the Search for Feedback in Reinforcement Learning
Ran Wang, Karthikeya S. Parunandi, Aayushman Sharma +2
The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of t…