18 citations · 45 across the 12 of their papers we have counts for
12 papers
Flow matching for stochastic linear control systems
Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei +1
This paper addresses the problem of steering an initial probability distribution to a target probability distribution through a deterministic or stochastic linear control system. O…
Inertialess Gyrating Engines
Jordi Ventura Siches, Olga Movilla Miangolarra, Amirhossein Taghvaei +2
A typical model for a gyrating engine consists of an inertial wheel powered by an energy source that generates an angle-dependent torque. Examples of such engines include a pendulu…
Stochastic thermodynamic engines under time-varying temperature profile
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei +2
In the present paper, we study the power output and efficiency of overdamped stochastic thermodynamic engines that are in contact with a heat bath having a temperature that varies…
Thermodynamic engine powered by anisotropic fluctuations
Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen +1
The purpose of this work is to present the concept of an autonomous Stirling-like engine powered by anisotropy of thermodynamic fluctuations. Specifically, simultaneous contact of…
Variational Wasserstein gradient flow
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei +1
Wasserstein gradient flow has emerged as a promising approach to solve optimization problems over the space of probability distributions. A recent trend is to use the well-known JK…
An optimal control approach to particle filtering
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
We present a novel particle filtering framework for continuous-time dynamical systems with continuous-time measurements. Our approach is based on the duality between estimation and…
Energy harvesting from anisotropic fluctuations
Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu +2
We consider a rudimentary model for a heat engine, known as the Brownian gyrator, that consists of an overdamped system with two degrees of freedom in an anisotropic temperature fi…
Stein particle filtering
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
We present a new particle filtering algorithm for nonlinear systems in the discrete-time setting. Our algorithm is based on the Stein variational gradient descent (SVGD) framework,…
Harvesting energy from a periodic heat bath
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei +2
The context of the present paper is stochastic thermodynamics - an approach to nonequilibrium thermodynamics rooted within the broader framework of stochastic control. In contrast…
Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile
Olga Movilla Miangolarra, Rui Fu, Amirhossein Taghvaei +2
We study thermodynamic processes in contact with a heat bath that may have an arbitrary time-varying periodic temperature profile. Within the framework of stochastic thermodynamics…
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
Wasserstein Barycenter is a principled approach to represent the weighted mean of a given set of probability distributions, utilizing the geometry induced by optimal transport. In…
Maximal power output of a stochastic thermodynamic engine
Rui Fu, Amirhossein Taghvaei, Yongxin Chen +1
Classical thermodynamics aimed to quantify the efficiency of thermodynamic engines by bounding the maximal amount of mechanical energy produced compared to the amount of heat requi…