In this paper, we focus on the event-triggered robust state estimation problems for nonlinear networked systems with constant measurement delays against denial-of-service (DoS) attacks. The computation of the extended Kalman filter (EKF) generates errors of linearization approximations, which can result in increased state estimation errors, and subsequently amplifies the linearization errors. DoS attacks interfere with the transmission of measurements sent to the remote robust state estimator by overloading the communication networks, while the communication rate of the communication channel is constrained. Therefore, an event-triggered robust state estimation algorithm based on sensitivity penalization with an explicit packet arrival parameter is derived to defend against DoS attacks and linearization errors. Meanwhile, the presence of measurement delays precludes the direct use of conventional state estimation algorithms, prompting us to devise an innovative state augmentation method. The results of the numerical simulations show that the proposed robust state estimator can appreciably improve the accuracy of state estimation.

More from our Archive

• DOI: 10.3390/en16155682 2023

  Summary of Health-State Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy

  Xinwei Sun, Yang Zhang, Yongcheng Zhang, Licheng Wang, Kai Wang

• DOI: 10.3390/en16155809 2023

  Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System

  Ping Ma, Shuhui Cui, Mingshuai Chen, Shengzhe Zhou, Kai Wang

• DOI: 10.3390/s23156949 2023

  Visual Intelligence in Precision Agriculture: Exploring Plant Disease Detection via Efficient Vision Transformers

  Sana Parez, Naqqash Dilshad, Norah Saleh Alghamdi, Turki M. Alanazi, Jong Weon Lee

• DOI: 10.3390/s23156762 2023

  HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

  Aitizaz Ali, Bander Ali Saleh Al-rimy, Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Abdulaleem Ali Almazroi

• DOI: 10.3390/machines11080774 2023

  Sustainable Crop Protection via Robotics and Artificial Intelligence Solutions

  Vasiliki Balaska, Zoe Adamidou, Zisis Vryzas, Antonios Gasteratos

• DOI: 10.3390/mi14071480 2023

  A Review of the Residual Stress Generation in Metal Additive Manufacturing: Analysis of Cause, Measurement, Effects, and Prevention

  Nabin Bastola, Muhammad P. Jahan, Nithin Rangasamy, Chandra Sekhar Rakurty

• DOI: 10.3390/electronics12143155 2023

  In-Memory Computing Integrated Structure Circuit Based on Nonvolatile Flash Memory Unit

  Peilong Xu, Dan Lan, Fengyun Wang, Incheol Shin

• DOI: 10.3390/s23146507 2023

  CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks

  Basim Alabsi, Mohammed Anbar, Shaza Rihan

• DOI: 10.1039/d3mh00882g 2023

  Defect-stabilized and oxygen-coordinated iron single-atom sites facilitate hydrogen peroxide electrosynthesis

  Taotao Gao, Lu Qiu, Minghao Xie, Zhaoyu Jin, Panpan Li, Guihua Yu

• DOI: 10.3390/electronics12153300 2023

  Anomaly Detection in 6G Networks Using Machine Learning Methods

  Mamoon M. Saeed, Rashid A. Saeed, Maha Abdelhaq, Raed Alsaqour, Mohammad Kamrul Hasan, Rania A. Mokhtar