This article is concerned with the multitask multiagent allocation problem via many-objective
optimization for multiagent systems (MASs). First, a novel layered MAS model is constructed …

An event-triggered distributed state estimation problem is investigated for a class of discrete-
time nonlinear stochastic systems with unknown parameters over sensor networks (SNs) …

Due to the effectiveness of Nonnegative Matrix Factorization (NMF) and its graph
regularized extensions, these methods have been received much attention from various …

Cascading failures can easily occur and cause a major blackout in power systems when a
critical devices breaks down. It is an essential problem to evaluate the importance of …

Community detection is a critical issue in the field of complex networks. Nonnegative matrix
factorization (NMF) has been one of the hot research topics in community detection. In the …

Owing to the information diversity in the web and its dynamically changing contents,
extraction of relevant information from the web is a huge challenge. With the World Wide …

Abstract The Tobit Kalman filter (TKF) is a powerful tool in solving the state estimation
problem for linear systems with censored measurements. This paper is concerned with the …

In real networks, clustering is of great value to the analysis, design, and optimization of
numerous complex systems in natural science and engineering, eg power supply systems …

Community of complex networks is one of the most important properties in networks, in
which a node shares its most connections with other nodes in the same community …

Community structures detection is critical in the analysis of features and functions of complex
networks. Traditional methods are mostly concerned with the topology information of …