An integral sliding mode observer for CPS cyber security attack detection.

Clicks: 193
ID: 13473
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #41 of 45 articles by views in chaos (woodbury, ny)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Cyber-physical system (CPS) is a next-generation intelligent system integrating computing, communication, and control. As a unit of computing process and physical process, CPS is a new research field, where cooperative adaptive cruise control (CACC) is not only a microcosm of CPS but also a prerequisite for unmanned systems. CACC relies on the wireless communication network technology to achieve cooperative platooning control through vehicle-to-vehicle collaborative control methods. It can improve traffic efficiency and ensure safe driving. Once the wireless network is introduced by each vehicle to exchange information, it is vulnerable to cyber attacks, making attack detection necessary. In this paper, an integral sliding mode observer is designed to monitor malicious attacks. The proposed sliding mode observer not only retains the performance of traditional sliding mode control but also realizes the finite-time observation, avoiding the singular phenomenon that may occur in the traditional terminal sliding mode.
Reference Key
lv2019anchaos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Lv, Mi;Yu, Wenwu;Lv, Yuezu;Cao, Jinde;Huang, Wei;
Journal chaos (woodbury, ny)
Year 2019
DOI
10.1063/1.5092637
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.