GA‐LMI‐Assisted Event‐Triggered H∞ PID Control for Networked Systems Under Hybrid Cyber Attacks

ABSTRACT This paper addresses the challenge of event‐triggered proportional‐integral‐derivative (PID) control for networked systems under hybrid cyber attacks. The simulation of hybrid attacks involves the use of two groups of Bernoulli variables. Due to the constrained network bandwidth between the controller and actuator, an event‐triggered PID control mechanism is designed to alleviate the network load. By establishing sufficient conditions in matrix inequalities, the closed‐loop system's stability and performance are guaranteed in the mean‐square sense. However, the developed stability conditions include nonlinear terms which are difficult to be solved. To manage the nonlinear constraints during the controller design, a combined GA‐LMI‐based algorithm has been proposed. In addition, an initial value selection method is also presented for the GA‐LMI‐based algorithm in order to provide better algorithm performance. By executing the developed GA‐LMI‐based algorithm, the PID controller gains and the minimal performance can be determined simultaneously. Finally, a numerical example illustrates the reduced conservativeness of the proposed approach, achieving improved performance under varying system parameters. The method's effectiveness is further validated through its application to an unmanned aerial vehicle system.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-12-18
DOI
https://doi.org/10.1002/rnc.70338
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

GA‐LMI‐Assisted Event‐Triggered H∞ PID Control for Networked Systems Under Hybrid Cyber Attacks

Chengcheng Ren, Shuping He, Zhanpeng Wang, Tao Yu
International Journal of Robust and Nonlinear Control
Stability and Control of Uncertain Systems
article

GA‐LMI‐Assisted Event‐Triggered H∞ PID Control for Networked Systems Under Hybrid Cyber Attacks

Chengcheng Ren, Shuping He, Zhanpeng Wang, Tao Yu
article en

Abstract

ABSTRACT This paper addresses the challenge of event‐triggered proportional‐integral‐derivative (PID) control for networked systems under hybrid cyber attacks. The simulation of hybrid attacks involves the use of two groups of Bernoulli variables. Due to the constrained network bandwidth between the controller and actuator, an event‐triggered PID control mechanism is designed to alleviate the network load. By establishing sufficient conditions in matrix inequalities, the closed‐loop system's stability and performance are guaranteed in the mean‐square sense. However, the developed stability conditions include nonlinear terms which are difficult to be solved. To manage the nonlinear constraints during the controller design, a combined GA‐LMI‐based algorithm has been proposed. In addition, an initial value selection method is also presented for the GA‐LMI‐based algorithm in order to provide better algorithm performance. By executing the developed GA‐LMI‐based algorithm, the PID controller gains and the minimal performance can be determined simultaneously. Finally, a numerical example illustrates the reduced conservativeness of the proposed approach, achieving improved performance under varying system parameters. The method's effectiveness is further validated through its application to an unmanned aerial vehicle system.

International Journal of Robust and Nonlinear ControlVol. 36(6)
Ministry of Education of the People's Republic of China (CN), Anhui University (CN), Hefei University of Technology (CN), Yunnan Agricultural University (CN), Ministry of Education (CL)
National Natural Science Foundation of China, Key Laboratory of System Control and Information Processing
Openalex Percentile: Top 50%
Stability and Control of Uncertain Systems
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.