Wheel defect detection with machine learning

G Krummenacher, CS Ong, S Koller… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Wheel defects on railway wagons have been identified as an important source of damage to
the railway infrastructure and rolling stock. They also cause noise and vibration emissions …

Function perturbations on singular Boolean networks

Y Liu, B Li, H Chen, J Cao - Automatica, 2017 - Elsevier
This paper is devoted to studying function perturbations on the transition matrix and
topological structure of a singular Boolean network (SBN) via the semi-tensor product of …

Maximum-likelihood adaptive filter for partially observed Boolean dynamical systems

M Imani, UM Braga-Neto - IEEE Transactions on Signal …, 2016 - ieeexplore.ieee.org
We present a framework for the simultaneous estimation of state and parameters of partially
observed Boolean dynamical systems (POBDS). Simultaneous state and parameter …

Bayesian optimization objective-based experimental design

M Imani, SF Ghoreishi - 2020 American control conference …, 2020 - ieeexplore.ieee.org
Design has become a salient part of most of the scientific and engineering tasks, embracing
a wide range of domains including real experimental settings (eg, material discovery or drug …

Boolean Kalman filter and smoother under model uncertainty

M Imani, ER Dougherty, U Braga-Neto - Automatica, 2020 - Elsevier
Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
state-space models that provide a rich framework for modeling many complex dynamical …

Control of gene regulatory networks using Bayesian inverse reinforcement learning

M Imani, UM Braga-Neto - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states
to desirable ones has received much attention in recent years. Most of the existing methods …

Particle filters for partially-observed Boolean dynamical systems

M Imani, UM Braga-Neto - Automatica, 2018 - Elsevier
Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
models with application in estimation and control of Boolean processes based on noisy and …

Control of gene regulatory networks with noisy measurements and uncertain inputs

M Imani, UM Braga-Neto - IEEE Transactions on Control of …, 2017 - ieeexplore.ieee.org
This paper is concerned with the problem of stochastic control of gene regulatory networks
(GRNs) observed indirectly through noisy measurements and with uncertainty in the …

Function perturbation impact on stability in distribution of probabilistic Boolean networks

X Li, H Li, Y Li, X Yang - Mathematics and Computers in Simulation, 2020 - Elsevier
In practical gene regulatory networks, function perturbation often occurs due to gene
mutation. This paper studies the function perturbation impact on the stability and set stability …

Bayesian optimization for efficient design of uncertain coupled multidisciplinary systems

SF Ghoreishi, M Imani - 2020 American Control Conference …, 2020 - ieeexplore.ieee.org
Stabilization of complex cyber-physical systems is extremely important in keeping the critical
infrastructure and the environment safe. This is, in particular, critical in coupled …