This article proposes a fault-tolerant adaptive multigradient recursive reinforcement learning
(RL) event-triggered tracking control scheme for strict-feedback discrete-time multiagent …

The state estimation problem of heterogeneous multi-agent systems with random transport
protocol is investigated in this paper. Due to the dependency of the agent dynamics and the …

In order to provide intelligent services, the Internet of Things (IoT) facilitates millions of smart
cyber‐physical devices to be enabled with network connectivity to sense, collect, process …

In this paper, a distributed diffusion unscented Kalman filtering algorithm based on
covariance intersection strategy (DDUKF-CI) is proposed for target tracking with intermittent …

It is difficult to extract effective weak signals from complex noise environment in many
engineering applications. To address the problem, an improved unscented Kalman filter …

Abstracts This paper focuses on the issue of event-triggered nonlinear state estimation for
multi-sensor networks. An event-triggered mechanism reduces data transmission, balancing …

Cooperative unmanned aerial vehicle (UAV) swarms could expand the mission capability of
the single UAV and the overall combat effectiveness. We consider the dynamic scenarios …

For a steam heating network (SHN), which is one of the most important parts of the
integrated energy systems in an industrial park, it is essential to provide accurate and …

This paper provides the parallel distributed Kalman filter (PDKF) with non-aligned time
indexes, which uses four processing nodes to run the linear Kalman filter in parallel. To …

Increasing the energy efficiency of an Internet of Things (IoT) system is a major challenge for
its successful implementation. To reduce the computation and storage burden and enhance …