September 2026

This paper investigates the problem of fusion estimation by proposing both distributed and centralized fusion filtering algorithms, developed within the framework of the $\beta$-quaternion algebra. Th

In this paper, an auxiliary system method is proposed to address the predefined-time distributed constrained optimization with an event-triggered mechanism, which is applied to target monitoring in mu

This paper investigates the distributed generalized Nash equilibrium (GNE) seeking problem for purely monotone games with set and shared affine inequality constraints over communication-constrained ne

With the increasing scale and dynamics of data, distributed online optimization has become essential for real-time decision-making in various applications. However, existing algorithms often rely on b

Graph-structured data are observations associated with a graph structure in which vertices and edges describe some kind of data correlation. This paper proposes a regression method for graph-structure