9 citations · 10 across the 7 of their papers we have counts for
7 papers
A Decoupled Data Based Approach to Stochastic Optimal Control Problems
Dan Yu, Mohammandhussen Rafieisakhaei, Suman Chakravorty
This paper studies the stochastic optimal control problem for systems with unknown dynamics. A novel decoupled data based control (D2C) approach is proposed, which solves the probl…
A Separation-based Approach to Data-based Control for Large-Scale Partially Observed Systems
Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by partial differential equations (PDEs) that leads to an extr…
A Separation-Based Design to Data-Driven Control for Large-Scale Partially Observed Systems
Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by Partial Differential Equations (PDEs) that leads to an extr…
Stochastic Feedback Control of Systems with Unknown Nonlinear Dynamics
Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the stochastic optimal control problem for systems with unknown dynamics. First, an open-loop deterministic trajectory optimization problem is solved without kno…
A Computationally Optimal Randomized Proper Orthogonal Decomposition Technique
Dan Yu, Suman Chakravorty
In this paper, we consider the model reduction problem of large-scale systems, such as systems obtained through the discretization of partial differential equations. We propose a c…
An autoregressive (AR) model based stochastic unknown input realization and filtering technique
Dan Yu, Suman Chakravorty
This paper studies the state estimation problem of linear discrete-time systems with stochastic unknown inputs. The unknown input is a wide-sense stationary process while no other…