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Control principles of complex systems
A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review
Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …
methods and in rational drug design, the increase in approved drugs in the past decade did …
[HTML][HTML] Target control of complex networks
Controlling large natural and technological networks is an outstanding challenge. It is
typically neither feasible nor necessary to control the entire network, prompting us to explore …
typically neither feasible nor necessary to control the entire network, prompting us to explore …
On the control of multi-agent systems: A survey
Recent years have witnessed a trend to use networked multiple autonomous agents to
accomplish complex tasks arising from space-based applications, smart grids, and machine …
accomplish complex tasks arising from space-based applications, smart grids, and machine …
Optimally controlling the human connectome: the role of network topology
To meet ongoing cognitive demands, the human brain must seamlessly transition from one
brain state to another, in the process drawing on different cognitive systems. How does the …
brain state to another, in the process drawing on different cognitive systems. How does the …
Control profiles of complex networks
Studying the control properties of complex networks provides insight into how designers and
engineers can influence these systems to achieve a desired behavior. Topology of a …
engineers can influence these systems to achieve a desired behavior. Topology of a …
Minimal controllability problems
Given a linear system, we consider the problem of finding a small set of variables to affect
with an input so that the resulting system is controllable. We show that this problem is NP …
with an input so that the resulting system is controllable. We show that this problem is NP …
Synchronization in complex networks and its application–a survey of recent advances and challenges
Complex networks have, in recent years, brought many innovative impacts to large-scale
systems. However, great challenges also come forth due to distinct complex situations and …
systems. However, great challenges also come forth due to distinct complex situations and …
From maps to multi-dimensional network mechanisms of mental disorders
The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …
cohorts has enabled an assessment of functional and structural brain network architecture at …
Early predictor for the onset of critical transitions in networked dynamical systems
Numerous natural and human-made systems exhibit critical transitions whereby slow
changes in environmental conditions spark abrupt shifts to a qualitatively distinct state …
changes in environmental conditions spark abrupt shifts to a qualitatively distinct state …