We present a framework for the simultaneous estimation of state and parameters of partially
observed Boolean dynamical systems (POBDS). Simultaneous state and parameter …

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 …

Running Internet of Things applications on general purpose processors results in a large
energy and performance overhead, due to the high cost of data movement. Processing in …

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 (GRNs) to shift gene expression from undesirable states
to desirable ones has received much attention in recent years. Most of the existing methods …

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 …

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 …

This paper presents a novel uncertainty propagation approach for multidisciplinary systems
with feedback couplings, model discrepancy, and parametric uncertainty. The proposed …

This paper proposes an approach for finite-horizon control of partially-observed Boolean
dynamical systems (POBDS) with uncertain continuous control input and infinite observation …

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 …