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 6,814 169 World Ranking 2523 National Ranking 286

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Topology

His primary scientific interests are in Control theory, Nonlinear system, Artificial neural network, Adaptive control and Observer. Dan Wang frequently studies issues relating to Control engineering and Control theory. He has researched Nonlinear system in several fields, including Bounded function and Synchronization.

His research investigates the connection with Adaptive control and areas like Robust control which intersect with concerns in Mobile robot. His Observer research is multidisciplinary, relying on both Steady state, Synchronization networks and Identification. His biological study deals with issues like Nonlinear control, which deal with fields such as Tracking error.

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)
  • DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems (395 citations)
  • Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics (305 citations)

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

The scientist’s investigation covers issues in Control theory, Artificial neural network, Control theory, Nonlinear system and Control engineering. Dan Wang focuses mostly in the field of Control theory, narrowing it down to matters related to Bounded function and, in some cases, Lyapunov stability. The various areas that Dan Wang examines in his Artificial neural network study include Control, Tracking, Robustness and Backstepping.

His study in the field of Underactuation also crosses realms of Kinematics, Modular design and MIMO. While the research belongs to areas of Nonlinear system, Dan Wang spends his time largely on the problem of Control system, intersecting his research to questions surrounding Actuator. He interconnects Vehicle dynamics and Mobile robot in the investigation of issues within Control engineering.

He most often published in these fields:

  • Control theory (87.32%)
  • Artificial neural network (39.51%)
  • Control theory (32.68%)

What were the highlights of his more recent work (between 2017-2021)?

  • Control theory (87.32%)
  • Control theory (32.68%)
  • State observer (11.22%)

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

His primary areas of investigation include Control theory, Control theory, State observer, Nonlinear system and Kinematics. His research in Control theory intersects with topics in Artificial neural network, Differentiator and Model predictive control. His Artificial neural network research incorporates elements of Control system and Actuator.

His study in Control theory focuses on Adaptive control in particular. His Nonlinear system research is multidisciplinary, relying on both Observer and Multi-agent system. His research in Observer tackles topics such as Backstepping which are related to areas like Internal model.

Between 2017 and 2021, his most popular works were:

  • Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation (142 citations)
  • Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics (41 citations)
  • Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance (33 citations)

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

  • Control theory
  • Artificial intelligence
  • Artificial neural network

His primary areas of investigation include Control theory, State observer, Vehicle dynamics, Lyapunov function and Control theory. In general Control theory, his work in Observer and Nonlinear system is often linked to Kinematics linking many areas of study. His Vehicle dynamics research is multidisciplinary, incorporating elements of Control system and Fuzzy logic.

His work deals with themes such as Salient, Trajectory, Dynamic positioning and Parameterized complexity, which intersect with Lyapunov function. His study in the field of Adaptive control is also linked to topics like Estimator. Dan Wang studied Bounded function and Artificial neural network that intersect with Torque.

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

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

DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems

Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong.
fuzzy systems and knowledge discovery (2008)

564 Citations

Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics

Zhouhua Peng;Dan Wang;Zhiyong Chen;Xiaojing Hu.
IEEE Transactions on Control Systems and Technology (2013)

378 Citations

Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems

Yan-Jun Liu;Shao-Cheng Tong;Dan Wang;Tie-Shan Li.
IEEE Transactions on Neural Networks (2011)

206 Citations

Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems.

Zhouhua Peng;Dan Wang;Hongwei Zhang;Gang Sun.
IEEE Transactions on Neural Networks (2014)

200 Citations

Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation

Zhouhua Peng;Jun Wang;Dan Wang.
IEEE Transactions on Control Systems and Technology (2018)

181 Citations

Neural network-based adaptive dynamic surface control of uncertain nonlinear pure-feedback systems

Dan Wang.
International Journal of Robust and Nonlinear Control (2011)

176 Citations

Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback

Zhouhua Peng;Jun Wang;Dan Wang.
IEEE Transactions on Industrial Electronics (2017)

169 Citations

Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions

Tieshan Li;Zifu Li;Dan Wang;C. L. Philip Chen.
IEEE Transactions on Neural Networks (2015)

160 Citations

Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders

Zhouhua Peng;Dan Wang;Yang Shi;Hao Wang.
Information Sciences (2015)

151 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Dan Wang

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 95

Tieshan Li

Tieshan Li

University of Electronic Science and Technology of China

Publications: 65

C. L. Philip Chen

C. L. Philip Chen

University of Macau

Publications: 63

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 45

Chong Lin

Chong Lin

Qingdao University

Publications: 41

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 41

Huanqing Wang

Huanqing Wang

Carleton University

Publications: 40

Bing Chen

Bing Chen

Qingdao University

Publications: 32

Weisheng Chen

Weisheng Chen

Xidian University

Publications: 29

Xiaoping Liu

Xiaoping Liu

Lakehead University

Publications: 27

Peng Shi

Peng Shi

University of Adelaide

Publications: 27

Yun Zhang

Yun Zhang

Guangdong University of Technology

Publications: 23

Zhi Liu

Zhi Liu

Guangdong University of Technology

Publications: 20

Dong Yue

Dong Yue

Nanjing University of Posts and Telecommunications

Publications: 18

Shengyuan Xu

Shengyuan Xu

Nanjing University of Science and Technology

Publications: 18

Qi Zhou

Qi Zhou

Guangdong University of Technology

Publications: 18

Trending Scientists

Marta Mattoso

Marta Mattoso

Federal University of Rio de Janeiro

Richard Bersohn

Richard Bersohn

Columbia University

Lanny S. Liebeskind

Lanny S. Liebeskind

Emory University

Joost N. H. Reek

Joost N. H. Reek

University of Amsterdam

Ryong Ryoo

Ryong Ryoo

Korea Advanced Institute of Science and Technology

Xiangmei Liu

Xiangmei Liu

Chinese Academy of Sciences

Mark Asta

Mark Asta

University of California, Berkeley

Richard A. Humber

Richard A. Humber

Agricultural Research Service

Guy A. Perkins

Guy A. Perkins

University of California, San Diego

Talia Herman

Talia Herman

Tel Aviv Sourasky Medical Center

Thomas J. Power

Thomas J. Power

University of Pennsylvania

Julia D. Grant

Julia D. Grant

Washington University in St. Louis

Halley M. Pontes

Halley M. Pontes

Birkbeck, University of London

Thaisa Storchi-Bergmann

Thaisa Storchi-Bergmann

Federal University of Rio Grande do Sul

Alan P. Boss

Alan P. Boss

Carnegie Institution for Science

Something went wrong. Please try again later.