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Electronics and Electrical Engineering
China
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
106
Citations
32853
World Ranking
135
National Ranking
18

Research.com Recognitions

  • 2025 - Research.com Electronics and Electrical Engineering in China Leader Award

Overview

Daniel W. C. Ho is affiliated with the City University of Hong Kong in China. Their research predominantly spans the fields of Computer Science and Engineering, with a strong emphasis on subfields such as Computer Networks and Communications, Control and Systems Engineering, and Artificial Intelligence.

Their recent scholarly work includes papers published in diverse reputable venues. Notable publications include:

  • Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (2022, arXiv, Cornell University)
  • Fully distributed observer-based consensus protocol: Adaptive dynamic event-triggered schemes (2022, Automatica)
  • Secure remote state estimation against linear man-in-the-middle attacks using watermarking (2020, Automatica)
  • Distributed Mirror Descent for Online Composite Optimization (2020, IEEE Transactions on Automatic Control)
  • Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning (2020, IEEE Transactions on Neural Networks and Learning Systems)

Their frequent coauthors reflect consistent collaborative efforts, including the following researchers:

  • Wenjun Xiong (14 coauthored papers)
  • Deming Yuan (13 coauthored papers)
  • Zijian Luo (13 coauthored papers)
  • Zhan Yu (10 coauthored papers)
  • Shengyuan Xu (9 coauthored papers)

Regular publication venues where Daniel W. C. Ho's work appears include:

  • arXiv (Cornell University) with 18 publications
  • IEEE Transactions on Cybernetics with 12 publications
  • IEEE Transactions on Automatic Control with 11 publications
  • Automatica with 7 publications
  • IEEE Transactions on Neural Networks and Learning Systems with 7 publications

Their research topics cover a range of advanced themes within control and network systems. Key subjects include:

  • Distributed Control Multi-Agent Systems
  • Stability and Control of Uncertain Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Neural Networks Stability and Synchronization
  • Sparse and Compressive Sensing Techniques
  • Advanced Control Systems Optimization
  • Iterative Learning Control Systems

In addition to journal articles and conference papers, Daniel W. C. Ho has contributed to academic books. A recent book publication is titled Iterative Learning Control for Network Systems Under Constrained Information Communication, published by Springer Nature in 2024.

Best Publications

  • Brief paper: A unified synchronization criterion for impulsive dynamical networks

    Jianquan Lu;Daniel W. C. Ho;Jinde Cao

  • Robust integral sliding mode control for uncertain stochastic systems with time-varying delay

    Yugang Niu;Daniel W C Ho;James Lam

  • Brief On robust stabilization of Markovian jump systems with uncertain switching probabilities

    Junlin Xiong;James Lam;Huijun Gao;Daniel W. C. Ho

  • Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements

    Zidong Wang;Fuwen Yang;D.W.C. Ho;Xiaohui Liu

  • Robust stabilization for a class of discrete-time non-linear systems via output feedback: The unified LMI approach

    Daniel W. C. Ho;Guoping Lu

  • Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses

    Zidong Wang;Fuwen Yang;D.W.C. Ho;Xiaohui Liu

  • Underdetermined blind source separation based on sparse representation

    Yuanqing Li;S. Amari;A. Cichocki;D.W.C. Ho

  • Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements

    Zidong Wang;Daniel W. C. Ho;Yurong Liu;Xiaohui Liu

  • Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks

    Derui Ding;Zidong Wang;Daniel W. C. Ho;Guoliang Wei

  • State estimation for delayed neural networks

    Zidong Wang;D.W.C. Ho;Xiaohui Liu

  • Fuzzy wavelet networks for function learning

    D.W.C. Ho;Ping-Au Zhang;Jinhua Xu

  • Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks

    Derui Ding;Zidong Wang;Daniel W.C. Ho;Guoliang Wei

  • Technical communique: Sliding mode control of singular stochastic hybrid systems

    Ligang Wu;Daniel W. C. Ho

  • Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances

    Jianquan Lu;D W C Ho;Jinde Cao;J Kurths

  • Brief paper: Stabilization of Markovian jump linear system over networks with random communication delay

    Ming Liu;Daniel W. C. Ho;Yugang Niu

  • Fixed-Time Synchronization of Complex Networks With Impulsive Effects via Nonchattering Control

    Xinsong Yang;James Lam;Daniel W. C. Ho;Zhiguo Feng

  • Variance-constrained filtering for uncertain stochastic systems with missing measurements

    Zidong Wang;D.W.C. Ho;Xiaohui Liu

  • Stochastic stability analysis of fuzzy hopfield neural networks with time-varying delays

    He Huang;D.W.C. Ho;J. Lam

  • Finite-time stability and settling-time estimation of nonlinear impulsive systems

    Xiaodi Li;Daniel W.C. Ho;Jinde Cao

  • Brief paper: Fault tolerant control for singular systems with actuator saturation and nonlinear perturbation

    Zhiqiang Zuo;Daniel W. C. Ho;Yijing Wang

  • Fuzzy Filter Design for ItÔ Stochastic Systems With Application to Sensor Fault Detection

    Ligang Wu;Daniel Ho

Frequent Co-Authors

Jianquan Lu
Jianquan Lu Southeast University
Jinde Cao
Jinde Cao Southeast University
Zidong Wang
Zidong Wang Brunel University London
Yugang Niu
Yugang Niu East China University of Science and Technology
Shengyuan Xu
Shengyuan Xu Nanjing University of Science and Technology
Fuwen Yang
Fuwen Yang Griffith University
Ligang Wu
Ligang Wu Harbin Institute of Technology
Guoqiang Hu
Guoqiang Hu Nanyang Technological University
Guisheng Zhai
Guisheng Zhai Shibaura Institute of Technology
Michael J. Grimble
Michael J. Grimble University of Strathclyde

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