activity
20172021
most citedStabilization of (state, input)-disturbed CSTRs through the port-Hamiltonian systems approach

3 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

q-bio.QM2021

Convergence of regularized particle filters for stochastic reaction networks

Zhou Fang, Ankit Gupta, Mustafa Khammash

Filtering for stochastic reaction networks (SRNs) is an important problem in systems/synthetic biology aiming to estimate the state of unobserved chemical species. A good solution…

stat.ME20201 cited

Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks

Zhou Fang, Ankit Gupta, Mustafa Khammash

We consider the problem of estimating the dynamic latent states of an intracellular multiscale stochastic reaction network from time-course measurements of fluorescent reporters. W…

math.DS2019

A graphic formulation of non-isothermal chemical reaction systems and the analysis of detailed balanced networks

Zhou Fang, Arjan van der Schaft, Chuanhou Gao

In this paper, we provide a graphic formulation of non-isothermal reaction systems and show that a non-isothermal detailed balanced network system converges (locally) asymptoticall…

math.DS2018

Revisiting Persistence of Chemical Reaction Networks through Lyapunov Function Partial Differential Equations

Xiaoyu Zhang, Zhou Fang, Chuanhou Gao

In this paper, we propose a novel technique, referred to as the Lyapunov Function PDEs technique, to diagnose persistence of chemical reaction networks with mass-action kinetics. T…

math.OC20173 cited

Stabilization of (state, input)-disturbed CSTRs through the port-Hamiltonian systems approach

Yafei Lu, Zhou Fang, Chuanhou Gao

It is a universal phenomenon that the state and input of the continuous stirred tank reactor (CSTR) systems are both disturbed. This paper proposes a (state, input)-disturbed port-…