Neural-Network-Based Control With Dynamic Event-Triggered Mechanisms Under DoS Attacks and Applications in Load Frequency Control-Reference-Cited by-同舟云学术

Neural-Network-Based Control With Dynamic Event-Triggered Mechanisms Under DoS Attacks and Applications in Load Frequency Control

Published:2022-12 Issue:12 Volume:69 Page:5312-5324
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Wang Xueli¹,Ding Derui¹^ORCID,Ge Xiaohua²^ORCID,Dong Hongli³^ORCID

Affiliation:

1. Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

3. Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing, China

Funder

National Natural Science Foundation of China

Hainan Province Science and Technology Special Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/8919/9985434/09901384.pdf?arnumber=9901384

Reference45 articles.

1. Probabilistic-Constrained H ∞ Tracking Control for a Class of Stochastic Nonlinear Systems Subject to DoS Attacks and Measurement Outliers

2. Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks

3. A Dynamic Event-Triggered Approach to H∞ Control for Discrete-Time Singularly Perturbed Systems With Time-Delays and Sensor Saturations

4. Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission

5. Simultaneous state and unknown input estimation for complex networks with redundant channels under dynamic event-triggered mechanisms;li;IEEE Trans Neural Netw Learn Syst,2021

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