activity
20202022
most citedStein particle filtering

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2022

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…

math.OC2021

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…

cond-mat.stat-mech2021

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…

cs.CE20214 cited

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,…

eess.SY20211 cited

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…

math.OC20202 cited

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…