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 60 Citations 16,498 291 World Ranking 578 National Ranking 59

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mathematical analysis
  • Artificial intelligence

His scientific interests lie mostly in Control theory, Nonlinear system, Multi-agent system, Nonlinear control and Robust control. Jie Huang has included themes like Control engineering and Consensus in his Control theory study. His work on Backstepping as part of general Nonlinear system study is frequently linked to Class, therefore connecting diverse disciplines of science.

His Nonlinear control research is multidisciplinary, relying on both Control system and Output feedback. His Robust control study incorporates themes from Function, Polynomial and Automatic control. His Adaptive control research focuses on Bounded function and how it relates to Dynamical system.

His most cited work include:

  • Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form (880 citations)
  • Nonlinear Output Regulation: Theory and Applications (713 citations)
  • On an output feedback finite-time stabilization problem (476 citations)

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

Control theory, Nonlinear system, Multi-agent system, Internal model and Nonlinear control are his primary areas of study. Jie Huang interconnects Control and Mathematical optimization in the investigation of issues within Control theory. His Nonlinear system research includes elements of Control engineering, Servomechanism, Class and Robustness.

In general Multi-agent system, his work in Consensus is often linked to Telecommunications network linking many areas of study. His Internal model study combines topics in areas such as Event triggered, Special case and Van der Pol oscillator. The Robust control study combines topics in areas such as Automatic control, Exponential stability, Linear system and Polynomial.

He most often published in these fields:

  • Control theory (84.86%)
  • Nonlinear system (55.83%)
  • Multi-agent system (27.79%)

What were the highlights of his more recent work (between 2015-2021)?

  • Control theory (84.86%)
  • Multi-agent system (27.79%)
  • Observer (14.39%)

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

Jie Huang mainly investigates Control theory, Multi-agent system, Observer, Consensus and Control. His work on Internal model, Nonlinear system and Output feedback as part of general Control theory study is frequently linked to Class, bridging the gap between disciplines. Many of his research projects under Nonlinear system are closely connected to Construct and Triangular matrix with Construct and Triangular matrix, tying the diverse disciplines of science together.

His studies in Multi-agent system integrate themes in fields like Mathematical optimization, Discrete time and continuous time and Adaptive control. The study incorporates disciplines such as Dimension, Class and Observer in addition to Observer. His Leader following study, which is part of a larger body of work in Consensus, is frequently linked to Rigid body, bridging the gap between disciplines.

Between 2015 and 2021, his most popular works were:

  • The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems (93 citations)
  • The Leader-Following Consensus for Multiple Uncertain Euler-Lagrange Systems With an Adaptive Distributed Observer (85 citations)
  • Adaptive leader-following consensus for a class of higher-order nonlinear multi-agent systems with directed switching networks (76 citations)

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

  • Control theory
  • Mathematical analysis
  • Artificial intelligence

Jie Huang spends much of his time researching Control theory, Multi-agent system, Consensus, Observer and Nonlinear system. Jie Huang combines subjects such as Control engineering and Control, Event triggered with his study of Control theory. In his work, Full state feedback is strongly intertwined with Robust control, which is a subfield of Event triggered.

His work carried out in the field of Multi-agent system brings together such families of science as Discrete time and continuous time, Adaptive control and State. The various areas that he examines in his Consensus study include Path and Lyapunov function. Jie Huang has researched Nonlinear system in several fields, including Linear system and Robustness.

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

Nonlinear Output Regulation: Theory and Applications

Jie Huang.
(2004)

1183 Citations

Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form

D. Wang;Jie Huang.
IEEE Transactions on Neural Networks (2005)

1115 Citations

On an output feedback finite-time stabilisation problem

Y. Hong;J. Huang;Y. Xu.
conference on decision and control (1999)

678 Citations

On an output feedback finite-time stabilization problem

Yigwruang Hong;Jie Huang;Yangsheng Xu.
IEEE Transactions on Automatic Control (2001)

651 Citations

Cooperative Output Regulation of Linear Multi-Agent Systems

Youfeng Su;Jie Huang.
IEEE Transactions on Automatic Control (2012)

595 Citations

Finite-time control for robot manipulators ☆

Yiguang Hong;Yangsheng Xu;Jie Huang.
Systems & Control Letters (2002)

481 Citations

A general framework for tackling the output regulation problem

Jie Huang;Zhiyong Chen.
IEEE Transactions on Automatic Control (2004)

462 Citations

A Distributed Control Approach to A Robust Output Regulation Problem for Multi-Agent Linear Systems

Xiaoli Wang;Yiguang Hong;Jie Huang;Zhong-Ping Jiang.
IEEE Transactions on Automatic Control (2010)

416 Citations

On a nonlinear multivariable servomechanism problem

J. Huang;W. J. Rugh.
Automatica (1990)

411 Citations

Brief Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form

Dan Wang;Jie Huang.
Automatica (2002)

367 Citations

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Best Scientists Citing Jie Huang

Frank L. Lewis

Frank L. Lewis

The University of Texas at Arlington

Publications: 104

Dan Wang

Dan Wang

Dalian Maritime University

Publications: 93

Zhouhua Peng

Zhouhua Peng

Dalian Maritime University

Publications: 80

Zhong-Ping Jiang

Zhong-Ping Jiang

New York University

Publications: 79

Zhengtao Ding

Zhengtao Ding

University of Manchester

Publications: 78

Alberto Isidori

Alberto Isidori

Sapienza University of Rome

Publications: 76

Tieshan Li

Tieshan Li

University of Electronic Science and Technology of China

Publications: 67

Gang Feng

Gang Feng

City University of Hong Kong

Publications: 67

Lorenzo Marconi

Lorenzo Marconi

University of Bologna

Publications: 66

Lu Liu

Lu Liu

City University of Hong Kong

Publications: 65

Huaguang Zhang

Huaguang Zhang

Northeastern University

Publications: 59

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 57

Zongli Lin

Zongli Lin

University of Virginia

Publications: 57

Chunjiang Qian

Chunjiang Qian

The University of Texas at San Antonio

Publications: 56

Haibo Du

Haibo Du

Hefei University of Technology

Publications: 55

Yiguang Hong

Yiguang Hong

Chinese Academy of Sciences

Publications: 54

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