World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
12260
World Ranking
1777
National Ranking
298

Overview

Hongli Dong is affiliated with Northeast Petroleum University in China and has a substantial body of research contributions primarily in the fields of engineering and computer science. Their work spans several key subfields, including control and systems engineering, computer networks and communications, artificial intelligence, electrical and electronic engineering, and ocean engineering.

The main topics of Hongli Dong's research include:

  • Stability and Control of Uncertain Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Distributed Control Multi-Agent Systems
  • Target Tracking and Data Fusion in Sensor Networks
  • Fault Detection and Control Systems
  • Neural Networks Stability and Synchronization
  • Smart Grid Security and Resilience

Hongli Dong has authored numerous publications across various reputable venues. The most frequent publication venues include:

  • Automatica
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Cybernetics
  • IEEE/CAA Journal of Automatica Sinica
  • IEEE Transactions on Automatic Control

Selected recent papers by Hongli Dong include:

  • A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises, 2020, IEEE Transactions on Automatic Control
  • Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks, 2021, Automatica
  • Fault-Tolerant Consensus Control for Multiagent Systems: An Encryption-Decryption Scheme, 2021, IEEE Transactions on Automatic Control
  • Distributed Platooning Control of Automated Vehicles Subject to Replay Attacks Based on Proportional Integral Observers, 2022, IEEE/CAA Journal of Automatica Sinica
  • Ultimately Bounded Filtering Subject to Impulsive Measurement Outliers, 2021, IEEE Transactions on Automatic Control

The scientist collaborates frequently with other researchers. Their most common co-authors are:

  • Zidong Wang
  • Fei Han
  • Hongjian Liu
  • Derui Ding
  • Lei Zou

Hongli Dong has also contributed to academic book publications, including one published by Springer International Publishing titled Distributed Filtering, Control and Synchronization released in 2022.

Best Publications

  • Distributed H ∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks

    Hongli Dong;Zidong Wang;Huijun Gao

  • Robust $H_{\infty}$ Filtering for a Class of Nonlinear Networked Systems With Multiple Stochastic Communication Delays and Packet Dropouts

    Hongli Dong;Zidong Wang;Huijun Gao

  • Distributed Resilient Filtering for Power Systems Subject to Denial-of-Service Attacks

    Wei Chen;Derui Ding;Hongli Dong;Guoliang Wei

  • Robust $H_{\infty }$ Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements

    Hongli Dong;Zidong Wang;Daniel W C Ho;Huijun Gao

  • Fuzzy-Model-Based Robust Fault Detection With Stochastic Mixed Time Delays and Successive Packet Dropouts

    Hongli Dong;Zidong Wang;J. Lam;Huijun Gao

  • Robust ${{\cal H}}_{\infty}$ Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case

    Hongli Dong;Zidong Wang;D W C Ho;Huijun Gao

  • Fault Detection for Markovian Jump Systems With Sensor Saturations and Randomly Varying Nonlinearities

    Hongli Dong;Zidong Wang;Huijun Gao

  • Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts

    Hongli Dong;Zidong Wang;Huijun Gao

  • Finite-Horizon $H_{\infty} $ Filtering With Missing Measurements and Quantization Effects

    Zidong Wang;Hongli Dong;Bo Shen;Huijun Gao

  • Distributed H∞ state estimation with stochastic parameters and nonlinearities through sensor networks: The finite-horizon case

    Derui Ding;Zidong Wang;Hongli Dong;Huisheng Shu

  • Envelope-constrained H ∞ filtering with fading measurements and randomly occurring nonlinearities

    Derui Ding;Zidong Wang;Bo Shen;Hongli Dong

  • On ${\cal H}_{\infty}$ Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems With Fading Channels

    Hongli Dong;Zidong Wang;Steven X. Ding;Huijun Gao

  • Variance-constrained H ∞ control for a class of nonlinear stochastic discrete time-varying systems

    Hongli Dong;Zidong Wang;Bo Shen;Derui Ding

  • Event-Based $H_{\infty}$ Filter Design for a Class of Nonlinear Time-Varying Systems With Fading Channels and Multiplicative Noises

    Hongli Dong;Zidong Wang;Steven X. Ding;Huijun Gao

  • Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems

    Hongli Dong;Zidong Wang;Steven X. Ding;Huijun Gao

  • Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks

    Haifang Song;Derui Ding;Derui Ding;Hongli Dong;Xiaojian Yi

  • Finite-horizon reliable control with randomly occurring uncertainties and nonlinearities subject to output quantization

    Hongli Dong;Zidong Wang;Steven X. Ding;Huijun Gao

  • Robust ${\cal H}_{\infty}$ Finite-Horizon Control for a Class of Stochastic Nonlinear Time-Varying Systems Subject to Sensor and Actuator Saturations

    Zidong Wang;Daniel W C Ho;Hongli Dong;Huijun Gao

  • A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises

    Min Wang;Zidong Wang;Hongli Dong;Qing-Long Han

  • Fuzzy-Logic-Based Control, Filtering, and Fault Detection for Networked Systems: A Survey

    Yuqiang Luo;Zidong Wang;Guoliang Wei;Bo Shen

  • Variance-Constrained ${\cal H}_{\infty}$ Filtering for a Class of Nonlinear Time-Varying Systems With Multiple Missing Measurements: The Finite-Horizon Case

    Hongli Dong;Zidong Wang;Daniel W C Ho;Huijun Gao

  • Event-triggered distributed ℋ ∞ state estimation with packet dropouts through sensor networks

    Derui Ding;Zidong Wang;Bo Shen;Hongli Dong

Frequent Co-Authors

Zidong Wang
Zidong Wang Brunel University London
Huijun Gao
Huijun Gao Harbin Institute of Technology
Derui Ding
Derui Ding University of Shanghai for Science and Technology
Bo Shen
Bo Shen Donghua University
Fuad E. Alsaadi
Fuad E. Alsaadi King Abdulaziz University
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Guoliang Wei
Guoliang Wei University of Shanghai for Science and Technology
Daniel W. C. Ho
Daniel W. C. Ho City University of Hong Kong
James Lam
James Lam University of Hong Kong
Jinling Liang
Jinling Liang Southeast University

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