In this paper, some recent results on the distributed filtering, estimation and fusion
algorithms for nonlinear systems with communication constraints are reviewed. First, some …

We are concerned with the consensus problem for a class of uncertain nonlinear multi‐
agent systems (MASs) connected through an undirected communication topology via event …

This study focuses on the asymptotical consensus and synchronisation for coupled
uncertain parabolic partial differential equation (PDE) agents with Neumann boundary …

Consensus filtering is an effective method for distributed state estimation of distributed
sensor networks and the assumption of white measurement noise is widely used. However …

This paper considers the average consensus problems of a class of multi‐agent systems
(MAS) with binary‐valued communication. Each agent can only obtain its neighbor's binary …

Distributed target tracking is an important problem in sensor networks (SNs). In this paper,
the problem of distributed target tracking is addressed under cyber-attacks for targets with …

Decentralized stochastic gradient methods play significant roles in large‐scale optimization
that finds many practical applications in machine learning and coordinated control. This …

This paper investigates the tracking control problem of chained-form nonholonomic
multiagent systems (MASs). In contrast to the existing works in which some algorithms have …

This paper investigates the tracking control problem of multiagent systems with Lipschitz
nonlinearities and external disturbances that track a target with states that are not available …

Distributing calculations of a central Kalman filter requires subsystem level expressions for
the propagation and update steps of the Kalman filter. It is difficult to obtain subsystem level …