Memory-Based Event-Triggering H∞ Load Frequency Control for Power Systems Under Deception Attacks
By Engang Tian, Chen Peng. IEEE Transactions on Cybernetics, 2020
415 citations recorded by the source corpus.
This article proposes a memory-based event-triggering <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> load frequency control (LFC) method for power systems through a bandwidth-constrained open network. To overcome the bandwidth constraint, a memory-based event-triggered scheme (METS) is first proposed to reduce the number of transmitted packets. Compared with the existing memoryless event-triggered schemes, the proposed METS has the advantage to utilize series of the latest released signals. To deal with the random deception attacks induced by open networks, a networked power system model is well established, which couples the effects of METS and random deception attacks in a unified framework. Then, a sufficient stabilization criterion is derived to obtain the memory <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> LFC controller gains and event-triggered parameters simultaneously. Compared with existing memoryless LFC, the control performance is greatly improved since the latest released dynamic information is well utilized. Finally, an illustrative example is used to show the effectiveness of the proposed method.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/c9265ecfd8dfd99d34b55bc23c292dd4dfc3fb5a
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In Control and Systems Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Switching-Like Event-Triggered Control for Networked Control Systems Under Malicious Denial of Service Attacks (2020, background): “Generally, cyber attacks can be divided into denial of service (DoS) attacks and deception attacks [6], [7], DoS is perhaps one of the most detrimental attacks by blocking the packets delivery between measurement and control channels.”
- Security-Based Fuzzy Control for Nonlinear Networked Control Systems With DoS Attacks via a Resilient Event-Triggered Scheme (2022, background): “In general, malicious attacks for communication networks are divided into two common attack types: deception attacks [26]–[28] and denial of service (DoS) attacks [29], [30].”