[图书][B] Cyber-physical systems: from theory to practice
Although comprehensive knowledge of cyber-physical systems (CPS) is becoming a must
for researchers, practitioners, system designers, policy makers, system managers, and …
for researchers, practitioners, system designers, policy makers, system managers, and …
[图书][B] Handbook on securing cyber-physical critical infrastructure
The worldwide reach of the Internet allows malicious cyber criminals to coordinate and
launch attacks on both cyber and cyber-physical infrastructure from anywhere in the world …
launch attacks on both cyber and cyber-physical infrastructure from anywhere in the world …
Structural analysis of the stochastic influence model for identifiability and reduced-order estimation
The influence model (IM) is a reduced-order stochastic network model that captures the
spatiotemporal dynamics in a network of interactive Markov chains. Identifiability and …
spatiotemporal dynamics in a network of interactive Markov chains. Identifiability and …
Security and vulnerability of cyber-physical infrastructure networks: A control-theoretic approach
The purpose of this chapter is to (1) introduce notions of security for the physical dynamics of
complex cyber-physical networks and (2) provide a tutorial on control-theoretic tools for …
complex cyber-physical networks and (2) provide a tutorial on control-theoretic tools for …
A stochastic network model for uncertain spatiotemporal weather impact at the strategic time horizon
Motivated by challenges in flow-contingency management, we introduce a stochastic
network model for the spatiotemporal evolution of weather impact at a strategic time horizon …
network model for the spatiotemporal evolution of weather impact at a strategic time horizon …
On the identifiability of the influence model for stochastic spatiotemporal spread processes
The influence model is a discrete-time stochastic model that succinctly captures the
interactions of a network of interacting Markov chains. The model produces a reduced-order …
interactions of a network of interacting Markov chains. The model produces a reduced-order …
Environment, communication and decision for multiagent systems
L Zhao - 2023 - mavmatrix.uta.edu
Multiagent systems (MAS) are ubiquitous in modern systems and have found broad
applications, such as in intelligent transportation systems (ITS). Environment …
applications, such as in intelligent transportation systems (ITS). Environment …
A framework for modeling stochastic flow and synchronization networks
Motivated mainly by infrastructure-network management problems, our group has been
pursuing analysis and design of various models for network dynamics, which vary in their …
pursuing analysis and design of various models for network dynamics, which vary in their …
Comments RegardingOn the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes'
S Roy - arXiv preprint arXiv:1811.02171, 2018 - arxiv.org
The identifiability analysis of a networked Markov chain model known as the influence
model, as described in a recent contribution to Arxiv, is examined. Two errors in the …
model, as described in a recent contribution to Arxiv, is examined. Two errors in the …
A stochastic weather-impact simulator for strategic air traffic management
Motivated by challenges in strategic traffic flow management, a stochastic network model is
introduced for the spatiotemporal evolution of weather impact at a strategic time horizon …
introduced for the spatiotemporal evolution of weather impact at a strategic time horizon …