Adaptive NN Finite-Time Resilient Control for Nonlinear Time-Delay Systems With Unknown False Data Injection and Actuator Faults

Abstract

This article considers neural network (NN)-based adaptive finite-time resilient control problem for a class of nonlinear time-delay systems with unknown fault data injection attacks and actuator faults. In the procedure of recursive design, a coordinate transformation and a modified fractionalorder command-filtered (FOCF) backstepping technique are incorporated to handle the unknown false data injection attacks and overcome the issue of "explosion of complexity" caused by repeatedly taking derivatives for virtual control laws. The theoretical analysis proves that the developed resilient controller can guarantee the finite-time stability of the closed-loop system (CLS) and the stabilization errors converge to an adjustable neighborhood of zero. The foremost contributions of this work include: 1) by means of a modified FOCF technique, the adaptive resilient control problem of more general nonlinear time-delay systems with unknown cyberattacks and actuator faults is first considered; 2) different from most of the existing results, the commonly used assumptions on the sign of attack weight and prior knowledge of actuator faults are fully removed in this article. Finally, two simulation examples are given to demonstrate the effectiveness of the developed control scheme.

NN‐based decentralized adaptive event‐triggered control for nonlinear interconnected systems under intermittent DoS and injection attacks

“…Meanwhile, injection attacks are received a lot of attention from academics. [13][14][15][16][17][18] Considering CPSs under false data injection attacks, a new types of Nussbaum functions are introduced in the adaptive control. 13 The problem of adaptive NN finite time resilient control is investigated for nonlinear time-delay system with actuator fault and injection attacks.…”

“…13 The problem of adaptive NN finite time resilient control is investigated for nonlinear time-delay system with actuator fault and injection attacks. 14 A network-based multidimensional moving target defense mechanism for power system underfalse data injection attacks in Reference 17. The authors discuss the characteristics of injection attacks including not only the goals, construction methods and consequences of from the perspective of attackers but also the protection and detection countermeasures from the perspective of defenders in Reference 18.…”

“…Meanwhile, injection attacks are received a lot of attention from academics 13‐18 . Considering CPSs under false data injection attacks, a new types of Nussbaum functions are introduced in the adaptive control 13 .…”

“…Considering CPSs under false data injection attacks, a new types of Nussbaum functions are introduced in the adaptive control 13 . The problem of adaptive NN finite time resilient control is investigated for nonlinear time‐delay system with actuator fault and injection attacks 14 . A network‐based multidimensional moving target defense mechanism for power system underfalse data injection attacks in Reference 17.…”

Estimator-Based Adaptive Consensus Asymptotic Tracking Control for Constrained Nonlinear MASs Under DoS Attacks and Actuator Faults

“…In the insecure network layer, the transmitted data can be easily blocked or rewritten by attackers. Therefore, the network attacks are classified as DoS attacks [15] and deception attacks [16]. It is important to point out the DoS attacks for MASs mean that the attackers block the followers from receiving the information sent from their neighbors.…”