World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
61
Citations
10768
World Ranking
1579
National Ranking
261

Overview

Jun Cheng is affiliated with Guangxi Normal University in China and has made extensive contributions in the fields of Engineering and Computer Science. Their research primarily focuses on Control and Systems Engineering, alongside notable work in Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, and Computational Theory and Mathematics.

Their work spans several key topics, including:

  • Stability and Control of Uncertain Systems
  • Neural Networks Stability and Synchronization
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Smart Grid Security and Resilience
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization

Jun Cheng has a solid publication record in various respected journals. Frequent publication venues include:

  • Journal of the Franklin Institute
  • IEEE Transactions on Cybernetics
  • Information Sciences
  • Applied Mathematics and Computation
  • IEEE Transactions on Systems Man and Cybernetics Systems

They regularly collaborate with several coauthors, among whom are:

  • Kaibo Shi
  • Huaicheng Yan
  • Wenhai Qi
  • Jinde Cao
  • Ju H. Park

Recent papers authored or coauthored by Jun Cheng include:

  • Static Output Feedback Quantized Control for Fuzzy Markovian Switching Singularly Perturbed Systems With Deception Attacks, 2021, IEEE Transactions on Fuzzy Systems
  • A Dynamic Event-Triggered Approach to State Estimation for Switched Memristive Neural Networks With Nonhomogeneous Sojourn Probabilities, 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • Novel event-triggered protocol to sliding mode control for singular semi-Markov jump systems, 2023, Automatica

Other influential works within their network of researchers related to their fields include:

  • Adaptive Fuzzy Backstepping-Based Formation Control of Unmanned Surface Vehicles With Unknown Model Nonlinearity and Actuator Saturation, 2020, IEEE Transactions on Vehicular Technology
  • Fuzzy SMC for Quantized Nonlinear Stochastic Switching Systems With Semi-Markovian Process and Application, 2021, IEEE Transactions on Cybernetics

Best Publications

  • Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control

    Kaibo Shi;Jun Wang;Shouming Zhong;Yuanyan Tang

  • An Asynchronous Operation Approach to Event-Triggered Control for Fuzzy Markovian Jump Systems With General Switching Policies

    Jun Cheng;Ju H. Park;Lixian Zhang;Yanzheng Zhu

  • Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions

    Jun Cheng;Ju H. Park;Yajuan Liu;Zhijun Liu

  • Adaptive Fuzzy Backstepping-Based Formation Control of Unmanned Surface Vehicles With Unknown Model Nonlinearity and Actuator Saturation

    Weixiang Zhou;Yueying Wang;Choon Ki Ahn;Jun Cheng

  • Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs

    Jun Cheng;Ju H. Park;Jinde Cao;Wenhai Qi

  • Quantized Nonstationary Filtering of Networked Markov Switching RSNSs: A Multiple Hierarchical Structure Strategy

    Jun Cheng;Ju H. Park;Xudong Zhao;Hamid Reza Karimi

  • A Flexible Terminal Approach to Sampled-Data Exponentially Synchronization of Markovian Neural Networks With Time-Varying Delayed Signals

    Jun Cheng;Ju H. Park;Hamid Reza Karimi;Hao Shen

  • An Event-Based Asynchronous Approach to Markov Jump Systems With Hidden Mode Detections and Missing Measurements

    Jun Cheng;Choon Ki Ahn;Hamid Reza Karimi;Jinde Cao

  • Static output feedback control of nonhomogeneous Markovian jump systems with asynchronous time delays

    Jun Cheng;Ju H. Park;Hamid Reza Karimi;Xudong Zhao

  • Static Output Feedback Quantized Control for Fuzzy Markovian Switching Singularly Perturbed Systems with Deception Attacks

    Jun Cheng;Yueying Wang;Ju H. Park;Jinde Cao

  • Novel event-triggered protocol to sliding mode control for singular semi-Markov jump systems

    Unknown

  • Protocol-Based Output-Feedback Control for Semi-Markov Jump Systems

    Unknown

  • Protocol-based filtering for fuzzy Markov affine systems with switching chain

    Unknown

  • Event-Triggering and Quantized Sliding Mode Control of UMV Systems Under DoS Attack

    Unknown

  • Quantized H∞ filtering for switched linear parameter-varying systems with sojourn probabilities and unreliable communication channels

    Jun Cheng;Jun Cheng;Ju H. Park;Jinde Cao;Dian Zhang

  • A Dynamic Event-Triggered Approach to State Estimation for Switched Memristive Neural Networks With Nonhomogeneous Sojourn Probabilities

    Jun Cheng;Lidan Liang;Ju H. Park;Huaicheng Yan

  • Finite-time H∞ control for a class of Markovian jump systems with mode-dependent time-varying delays via new Lyapunov functionals.

    Jun Cheng;Hong Zhu;Shouming Zhong;Yong Zeng

  • Fuzzy SMC for Quantized Nonlinear Stochastic Switching Systems With Semi-Markovian Process and Application.

    Wenhai Qi;Xu Yang;Ju H. Park;Jinde Cao

  • New reliable nonuniform sampling control for uncertain chaotic neural networks under Markov switching topologies

    Kaibo Shi;Jun Wang;Shouming Zhong;Xiaojun Zhang

  • Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks

    Kaibo Shi;Jun wang;Shouming Zhong;Yuanyan Tang

  • Finite-time stabilization of T–S fuzzy semi-Markov switching systems: A coupling memory sampled-data control approach

    Jun Cheng;Jun Cheng;Dian Zhang;Wenhai Qi;Jinde Cao

  • Finite-time filtering for switched linear systems with a mode-dependent average dwell time

    Jun Cheng;Hong Zhu;Shouming Zhong;Fengxia Zheng

  • Static output feedback control of switched systems with quantization: A nonhomogeneous sojourn probability approach

    Jun Cheng;Ju H. Park;Xudong Zhao;Jinde Cao

  • A hidden mode observation approach to finite-time SOFC of Markovian switching systems with quantization

    Jun Cheng;Ju H. Park;Jinde Cao;Wenhai Qi

Frequent Co-Authors

Shouming Zhong
Shouming Zhong University of Electronic Science and Technology of China
Jinde Cao
Jinde Cao Southeast University
Ju H. Park
Ju H. Park Yeungnam University
Kaibo Shi
Kaibo Shi Chengdu University
Guangdeng Zong
Guangdeng Zong Tianjin Polytechnic University
Choon Ki Ahn
Choon Ki Ahn Korea University
Xinzhi Liu
Xinzhi Liu University of Waterloo
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan
Huaicheng Yan
Huaicheng Yan East China University of Science and Technology
Xudong Zhao
Xudong Zhao Dalian University of Technology

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