The industrial scenario is undergoing exponential changes, mainly due to the different
technologies that emerge quickly and the ever increasing demand. As a consequence, the …

The intelligent industrial environment developed with the support of the new generation
network cyber-physical system (CPS) can realize the high concentration of information …

This article is focused on the realtime monitoring and control aspects of ICPSs. Advanced
approaches and potential challenges are illustrated in the following sections. Especially, an …

This paper studies an adaptive neural network (NN) tracking control method for a class of
uncertain nonlinear strict-feedback systems with time-varying full-state constraints. As we all …

Abstract Undeniably, Internet of Things (IoT) devices are gradually getting better over time;
and IoT-based systems play a significant role in our lives. The pervasiveness of the new …

This article focuses on the problem of adaptive finite-time tracking control for nonlinear
stochastic systems under asymmetric constraints based on dynamic event-triggering control …

In this paper, the formation tracking control is studied for a multiagent system (MAS) with
communication limitations. The objective is to control a group of agents to track a desired …

Autonomous anomaly detection is a fundamental step in visual surveillance systems, and so
we have witnessed great progress in the form of various promising algorithms. Nonetheless …

Water supply systems are dynamic in nature, owing to the effect of climate change and
consumer demand uncertainties. The operation of such a system must be managed …

As the research of HCPS in EI is ongoing, an increasing number of problems should be
addressed, such as the leading role or aid function definition of humans, the coordination of …