The problem of learning-based control for robots has been extensively studied, whereas the
security issue under malicious adversaries has not been paid much attention to. Malicious …

This paper aims to investigate the security problem of nonlinear cyber-physical systems
(CPSs), which poses a challenge to handle compared with linear CPSs. A series of …

The system security of linear cyber-physical systems (CPSs) with repetitive movement
characteristics under injection attacks is investigated in this article. The optimal data-driven …

This article explores the output regulation (OR) problem for interval type-2 (IT2) switched
fuzzy systems (IT2-SFSs) vulnerable to data integrity and derivative injection attacks …

This paper addresses data-driven injection attack against unknown intelligent automation
systems (IASs) with slowly time-varying delays, which is a more general but also more …

With the increasing integration of cyber-physical systems (CPS) into critical applications,
ensuring their resilience against cyberattacks is paramount. A particularly concerning threat …

This article focuses on designing sensor attacks to deteriorate the state estimation in cyber‐
physical systems. The scenario that the malicious attack signals can be injected into different …

The false data injection (FDI) attack detection problem in cyber‐physical systems (CPSs) is
investigated in this paper. A novel attack detection algorithm is proposed based on the …

The problem of safety for robotic systems has been extensively studied. However, little
attention has been given to security issues for three-dimensional systems, such as …

In this paper, an attack effect observer-based security control (AEOBSC) architecture is
developed for cyber-physical systems (CPSs) subject to false data injection attack (FDIA) …