A Robust Dynamic Compensation Approach for Cyber-Physical Systems Against Multiple Types of Actuator Attacks

Xin Huang and Jiuxiang Dong

Applied Mathematics and Computation, 2020, vol. 380, issue C

Abstract: This paper develops a new secure control scheme (SCS) with a robust dynamic compensation for cyber-physical systems (CPSs) against malicious actuator attacks. The attack model under consideration is assumed to be a Lipschitz continuous and derivable function with respect to CPS states and an unknown bounded signal. The bounded signal is generated from any linear/nonlinear finite-L2-gain dynamical system. Different from the existing SCSs on one given injection attack pattern, (a) the new one can simultaneously resist multiple types of attacks (e.g., dynamic attacks, state-dependent attacks, etc.); (b) with the help of cooperation between two virtual dynamical systems, the presented robust compensator achieves a better compensation to attacks, such that the proposed control scheme guarantees the asymptotical stability of the attacked systems. An illustrative example verifies the effectiveness of the presented method.

Keywords: Cyber-physical systems; Secure control; Robust design; Dynamic compensation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320302538
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:380:y:2020:i:c:s0096300320302538

DOI: 10.1016/j.amc.2020.125284

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().