D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 35 Citations 4,989 199 World Ranking 2429 National Ranking 277

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to network-based control and its applications to power systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Statistics

Dong Yue focuses on Control theory, Stability, Control system, Linear matrix inequality and Exponential stability. Dong Yue frequently studies issues relating to Mathematical optimization and Control theory. His studies deal with areas such as Probability distribution and Interval as well as Stability.

His Control system research includes themes of Security controls, Lyapunov function, Nonlinear system and Smart grid. He has included themes like Event, Full state feedback and State in his Exponential stability study. His Networked control system study combines topics from a wide range of disciplines, such as Linear matrix, Event triggered, System model and Network packet.

His most cited work include:

  • Network-based robust H∞ control of systems with uncertainty (963 citations)
  • A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems (890 citations)
  • State feedback controller design of networked control systems (760 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Control theory, Nonlinear system, Control theory, Control system and Mathematical optimization. His work is dedicated to discovering how Control theory, Stability are connected with Probability distribution and other disciplines. In his work, Control is strongly intertwined with Multi-agent system, which is a subfield of Nonlinear system.

His studies in Control system integrate themes in fields like Control engineering and Network packet. Dong Yue combines subjects such as Stability, Robustness and Economic dispatch with his study of Mathematical optimization. His research in Fuzzy control system intersects with topics in Fuzzy number and Discrete time and continuous time.

He most often published in these fields:

  • Control theory (60.80%)
  • Nonlinear system (21.80%)
  • Control theory (15.30%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (60.80%)
  • Nonlinear system (21.80%)
  • Multi-agent system (11.53%)

In recent papers he was focusing on the following fields of study:

His main research concerns Control theory, Nonlinear system, Multi-agent system, Microgrid and Denial-of-service attack. Observer, Control theory, Fuzzy control system, Lyapunov function and Discrete time and continuous time are among the areas of Control theory where the researcher is concentrating his efforts. In most of his Control theory studies, his work intersects topics such as Linear matrix inequality.

His Nonlinear system study combines topics in areas such as Artificial neural network, Bounded function and Fuzzy logic. He has researched Multi-agent system in several fields, including Stability, State and Constraint. His research investigates the link between Control system and topics such as Telecommunications network that cross with problems in Automation and Network packet.

Between 2019 and 2021, his most popular works were:

  • Networked control systems: a survey of trends and techniques (121 citations)
  • Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks (43 citations)
  • Observer Design of Discrete-Time Fuzzy Systems Based on an Alterable Weights Method (38 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Statistics

Dong Yue mainly focuses on Control theory, Control system, Denial-of-service attack, Telecommunications network and Distributed computing. Control theory and Piecewise are two areas of study in which Dong Yue engages in interdisciplinary research. His Control system research integrates issues from Scheduling, Computer network, Lyapunov stability and Stability criterion.

His work deals with themes such as Cascading failure and Electric power system, which intersect with Telecommunications network. Dong Yue interconnects Control theory, System model, Security controls and Cyber-physical system in the investigation of issues within Distributed computing. The study incorporates disciplines such as Linear matrix inequality and Discrete time and continuous time in addition to Fuzzy control system.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Network-based robust H∞ control of systems with uncertainty

Dong Yue;Qing-Long Han;James Lam.
Automatica (2005)

1276 Citations

State feedback controller design of networked control systems

Dong Yue;Qing-Long Han;Chen Peng.
IEEE Transactions on Circuits and Systems Ii-express Briefs (2004)

1068 Citations

A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems

Dong Yue;Engang Tian;Qing-Long Han.
IEEE Transactions on Automatic Control (2013)

886 Citations

Delay-dependent exponential stability of stochastic systems with time-varying delay, nonlinearity, and Markovian switching

Dong Yue;Q.-L. Han.
IEEE Transactions on Automatic Control (2005)

437 Citations

Delayed feedback control of uncertain systems with time-varying input delay

Dong Yue;Qing-Long Han.
Automatica (2005)

297 Citations

To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems

Chen Peng;Qing-Long Han;Dong Yue.
IEEE Transactions on Fuzzy Systems (2013)

294 Citations

Event-triggered control design of linear networked systems with quantizations

Songlin Hu;Dong Yue.
Isa Transactions (2012)

277 Citations

Technical communique: Robust stabilization of uncertain systems with unknown input delay

Dong Yue.
Automatica (2004)

244 Citations

Control Synthesis of Discrete-Time T–S Fuzzy Systems via a Multi-Instant Homogenous Polynomial Approach

Xiangpeng Xie;Dong Yue;Huaguang Zhang;Yusheng Xue.
IEEE Transactions on Systems, Man, and Cybernetics (2016)

233 Citations

Delay-Distribution-Dependent Stability and Stabilization of T–S Fuzzy Systems With Probabilistic Interval Delay

Dong Yue;Engang Tian;Yijun Zhang;Chen Peng.
systems man and cybernetics (2009)

232 Citations

Best Scientists Citing Dong Yue

Zidong Wang

Zidong Wang

Brunel University London

Publications: 167

Qing-Long Han

Qing-Long Han

Swinburne University of Technology

Publications: 157

Ju H. Park

Ju H. Park

Yeungnam University

Publications: 154

Peng Shi

Peng Shi

University of Adelaide

Publications: 141

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 118

Jinde Cao

Jinde Cao

Southeast University

Publications: 81

Qingling Zhang

Qingling Zhang

Yale University

Publications: 77

Guo-Ping Liu

Guo-Ping Liu

University of South Wales

Publications: 73

Oh-Min Kwon

Oh-Min Kwon

Chungbuk National University

Publications: 69

Shumin Fei

Shumin Fei

Southeast University

Publications: 67

Chen Peng

Chen Peng

Shanghai University

Publications: 67

Huaguang Zhang

Huaguang Zhang

Northeastern University

Publications: 65

Huijun Gao

Huijun Gao

Harbin Institute of Technology

Publications: 63

Jinliang Liu

Jinliang Liu

Nanjing University of Finance and Economics

Publications: 63

Zheng-Guang Wu

Zheng-Guang Wu

Zhejiang University

Publications: 62

Shouming Zhong

Shouming Zhong

University of Electronic Science and Technology of China

Publications: 58

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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