Secure Tracking Control of Cyber-Physical Systems Against Hybrid Attacks via FAS Terminal Sliding-Mode Predictive Control

On the basis of fully actuated system (FAS) method, this research focuses on the solution to a secure tracking control problem of cyber-physical systems (CPSs) under a type of hybrid attacks, where a unified framework of hybrid attacks is given to indicate the impacts of random denial-of-service attacks and random false data injection attacks in the forward and backward channels. A FAS terminal sliding-mode predictive control scheme is proposed to achieve the desired secure tracking control performance. First of all, a FAS model of CPSs is constructed to describe the actual dynamics, which is named the fully actuated cyber-physical system (FACPS). Then, a terminal sliding-mode is introduced to defend the hybrid attacks by enhancing the system robustness, and an incremental FAS prediction model of terminal sliding-mode is established via a Diophantine Equation. Through this incremental FAS prediction model, the multistep predictions of terminal sliding-mode are constructed to minimize an objective function for obtaining an optimal secure tracking controller. A sufficient condition of the closed-loop FACPS is derived to discuss the bounded stability and tracking performance with the help of the linear matrix inequality approach. Finally, the proposed FAS terminal sliding-mode predictive control scheme offers a solution to the tracking control of air-bearing spacecraft simulator for verifying the feasibility and practicality.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2025-05-28
DOI
https://doi.org/10.1109/tcyb.2025.3569664
Citations
7
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
8.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure Tracking Control of Cyber-Physical Systems Against Hybrid Attacks via FAS Terminal Sliding-Mode Predictive Control

Dawei Zhang, Shuai Liu
7 citations
IEEE Transactions on Cybernetics
Fault Detection and Control Systems
8.50
article

Secure Tracking Control of Cyber-Physical Systems Against Hybrid Attacks via FAS Terminal Sliding-Mode Predictive Control

Dawei Zhang, Shuai Liu
article en
7 citations

Abstract

On the basis of fully actuated system (FAS) method, this research focuses on the solution to a secure tracking control problem of cyber-physical systems (CPSs) under a type of hybrid attacks, where a unified framework of hybrid attacks is given to indicate the impacts of random denial-of-service attacks and random false data injection attacks in the forward and backward channels. A FAS terminal sliding-mode predictive control scheme is proposed to achieve the desired secure tracking control performance. First of all, a FAS model of CPSs is constructed to describe the actual dynamics, which is named the fully actuated cyber-physical system (FACPS). Then, a terminal sliding-mode is introduced to defend the hybrid attacks by enhancing the system robustness, and an incremental FAS prediction model of terminal sliding-mode is established via a Diophantine Equation. Through this incremental FAS prediction model, the multistep predictions of terminal sliding-mode are constructed to minimize an objective function for obtaining an optimal secure tracking controller. A sufficient condition of the closed-loop FACPS is derived to discuss the bounded stability and tracking performance with the help of the linear matrix inequality approach. Finally, the proposed FAS terminal sliding-mode predictive control scheme offers a solution to the tracking control of air-bearing spacecraft simulator for verifying the feasibility and practicality.

IEEE Transactions on CyberneticsVol. 55(11)
Southern University of Science and Technology (CN)
National Natural Science Foundation of China, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 2%
Fault Detection and Control Systems
8.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.