Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …

This paper addresses the decentralized fault tolerant control problem for interconnected
nonlinear systems under a reinforcement learning strategy. The system under consideration …

The evaluation of node importance is a critical research topic in network science, widely
applied in social networks, transport systems, and computer networks. Prior works …

Modern power system demonstrates good performance to withstand a single failure.
However, the recent progress has shown that power system is increasingly threatened by …

As the utilization of wind energy continues to grow, it is crucial to prioritize the identification
of vulnerabilities, raise awareness, and develop strategies for cybersecurity defense. False …

This article studies the distributed state estimation issue for complex networks with nonlinear
uncertainty. The extended state approach is used to deal with the nonlinear uncertainty. The …

The research on cascading failures in static networks has become relatively mature, and an
increasing number of scholars have started to explore the network scenarios where mobile …

More and more infrastructure networks have evolved into cyber physical systems (CPS).
Among the previous work, CPS has developed a series of emergency mechanisms to deal …

Measuring the importance of nodes is a rapidly developing field in network science, with
centrality measures playing a critical role in various applications, including epidemic control …

Network dismantling aims to degrade the connectivity of a network by removing an optimal
set of nodes. It has been widely adopted in many real-world applications such as epidemic …