This work concentrates on the adaptive resilient dynamic surface controller design problem
for uncertain nonlinear lower triangular stochastic cyber–physical systems (CPSs) subject to …

Effective measurement of system resilience provides a comprehensive understanding of the
system's characteristics. However, little research has been devoted to the resilience of a …

Effective recovery after disruptions is essential to improve system resilience. For many
distributed systems such as offshore wind farms and communication networks, spatial …

Lecturers, as the guidance of the classroom, play a significant role in the teaching process.
However, the lecturers' sense of space immersion has been ignored in current virtual …

This paper presents a machine-learning-based speed-up strategy for real-time
implementation of model-predictive-control (MPC) in emergency voltage stabilization of …

Multiple unmanned aerial vehicle (multi-UAV) system is a type of dynamic spatiotemporal
Internet of Things and susceptible to destruction from the external environment. Meanwhile …

Modern power grid is evolving towards carbon neutrality by deploying increasing amount of
renewable energy resources. However, the impact of renewable generation on power …

In order to have a properly functioning cyber–physical power system, the operational data
need to be properly measured, transmitted, and processed. In case of a malicious event on …

This article addresses the event-triggered adaptive neural network asymptotic tracking
control problem for a class of nonlinear cyber–physical systems under unknown deception …

This article is concerned with the event-triggered adaptive finite-time control problem for a
class of switched cyber-physical systems (CPSs) subject to uncertain deception attacks. We …