In this paper, the advances of distributed fusion estimation (DFE) algorithms for multi-sensor
networked systems (NSs) are reviewed. First, several general DFE algorithms are reviewed …

In this paper, some recent advances on the estimation, filtering and fusion for networked
systems are reviewed. Firstly, the network-induced phenomena under consideration are …

The automatic identification and diagnosis of rice diseases are highly desired in the field of
agricultural information. Deep learning is a hot research topic in pattern recognition and …

In this paper, the observer-based event-triggering consensus control problem is investigated
for a class of discrete-time multiagent systems with lossy sensors and cyber-attacks. A novel …

This paper is concerned with the distributed recursive filtering problem for a class of discrete
time-delayed stochastic systems subject to both uniform quantization and deception attack …

This paper investigates the leader-following consensus for multiagent systems with general
linear dynamics by means of event-triggered scheme (ETS). We propose three types of …

We consider the problem of network security for distributed filtering under false data injection
attacks over a wireless sensor network. To resist the hostile attacks from a malicious attacker …

In this paper, the event-triggered state estimation problem is investigated for a class of
discrete-time multidelayed neural networks with stochastic parameters and incomplete …

In this paper, the event-triggered state estimation problem is investigated for a class of
discrete-time stochastic memristive neural networks (DSMNNs) with time-varying delays and …

This paper investigates the stability problem for a class of impulsive complex-valued neural
networks with both asynchronous time-varying and continuously distributed delays. By …