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 69 Citations 15,967 206 World Ranking 301 National Ranking 31

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mathematical analysis
  • Artificial intelligence

Chong Lin spends much of his time researching Control theory, Fuzzy control system, Nonlinear system, Fuzzy logic and Control theory. In Control theory, Chong Lin works on issues like Artificial neural network, which are connected to Stability criterion and Exponential stability. His Fuzzy control system course of study focuses on Fuzzy set and Numerical stability.

His Nonlinear system research is multidisciplinary, incorporating elements of Control and Bounded function. Chong Lin combines subjects such as Control system and Mathematical optimization with his study of Fuzzy logic. The Control theory study combines topics in areas such as Observer, Function and System identification.

His most cited work include:

  • Technical communique: Delay-range-dependent stability for systems with time-varying delay (828 citations)
  • Further Improvement of Free-Weighting Matrices Technique for Systems With Time-Varying Delay (654 citations)
  • Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems (455 citations)

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

His primary areas of investigation include Control theory, Nonlinear system, Backstepping, Fuzzy control system and Fuzzy logic. His work carried out in the field of Control theory brings together such families of science as Artificial neural network and Bounded function. His research investigates the connection between Nonlinear system and topics such as Observer that intersect with problems in Lipschitz continuity.

The concepts of his Backstepping study are interwoven with issues in Compensation, Tracking, Tracking error, State observer and Adaptive system. In his study, Linear system is inextricably linked to Linear matrix inequality, which falls within the broad field of Fuzzy control system. His Fuzzy logic research incorporates themes from Discrete time and continuous time and Mathematical optimization.

He most often published in these fields:

  • Control theory (91.97%)
  • Nonlinear system (45.78%)
  • Backstepping (34.14%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control theory (91.97%)
  • Nonlinear system (45.78%)
  • Backstepping (34.14%)

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

Chong Lin mainly focuses on Control theory, Nonlinear system, Backstepping, Artificial neural network and Fuzzy control system. The various areas that he examines in his Control theory study include Tracking and Multi-agent system. The study incorporates disciplines such as Stability and Fuzzy logic in addition to Nonlinear system.

His Fuzzy logic study incorporates themes from Bilinear matrix inequality and Discrete time and continuous time. His Backstepping research includes themes of Bounded function and Compensation. As a part of the same scientific study, Chong Lin usually deals with the Fuzzy control system, concentrating on Time derivative and frequently concerns with Upper and lower bounds and Topology.

Between 2018 and 2021, his most popular works were:

  • Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems (71 citations)
  • Finite time control of switched stochastic nonlinear systems (70 citations)
  • Adaptive Neural Command Filtering Control for Nonlinear MIMO Systems With Saturation Input and Unknown Control Direction (33 citations)

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

  • Control theory
  • Mathematical analysis
  • Artificial intelligence

Chong Lin focuses on Nonlinear system, Control theory, Backstepping, Artificial neural network and Fuzzy control system. His work deals with themes such as Observer and Singular systems, Applied mathematics, which intersect with Nonlinear system. His Applied mathematics study combines topics in areas such as Linear matrix inequality, Control theory and Lipschitz continuity.

His Control theory study frequently links to other fields, such as Control. His Backstepping study also includes fields such as

  • Compensation that connect with fields like Tracking,
  • Differentiator that connect with fields like Stability. His studies in Fuzzy control system integrate themes in fields like Stability criterion and Discrete time and continuous time.

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

Technical communique: Delay-range-dependent stability for systems with time-varying delay

Yong He;Qing-Guo Wang;Chong Lin;Min Wu.
Automatica (2007)

1313 Citations

Further Improvement of Free-Weighting Matrices Technique for Systems With Time-Varying Delay

Yong He;Qing-Guo Wang;Lihua Xie;Chong Lin.
IEEE Transactions on Automatic Control (2007)

856 Citations

Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems

Bing Chen;Xiaoping Liu;Kefu Liu;Chong Lin.
Automatica (2009)

692 Citations

Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints

Huanqing Wang;Bing Chen;Xiaoping Liu;Kefu Liu.
IEEE Transactions on Systems, Man, and Cybernetics (2013)

347 Citations

A less conservative robust stability test for linear uncertain time-delay systems

Chong Lin;Qing-Guo Wang;Tong Heng Lee.
IEEE Transactions on Automatic Control (2006)

316 Citations

Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems

Bing Chen;Xiaoping Liu;Kefu Liu;Chong Lin.
Automatica (2009)

305 Citations

Brief paper: Observer-based networked control for continuous-time systems with random sensor delays

Chong Lin;Zidong Wang;Fuwen Yang.
Automatica (2009)

280 Citations

Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach

Bing Chen;X. P. Liu;S. S. Ge;Chong Lin.
IEEE Transactions on Fuzzy Systems (2012)

273 Citations

Augmented Lyapunov functional and delay-dependent stability criteria for neutral systems

Yong He;Yong He;Qing-Guo Wang;Chong Lin;Min Wu.
International Journal of Robust and Nonlinear Control (2005)

272 Citations

Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems

Fang Wang;Bing Chen;Chong Lin;Jing Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2018)

227 Citations

Best Scientists Citing Chong Lin

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 162

C. L. Philip Chen

C. L. Philip Chen

University of Macau

Publications: 88

Peng Shi

Peng Shi

University of Adelaide

Publications: 77

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 77

Huanqing Wang

Huanqing Wang

Carleton University

Publications: 69

Xiaoping Liu

Xiaoping Liu

Lakehead University

Publications: 61

Yun Zhang

Yun Zhang

Guangdong University of Technology

Publications: 57

Hongyi Li

Hongyi Li

Bohai University

Publications: 57

Zhi Liu

Zhi Liu

Guangdong University of Technology

Publications: 54

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 50

Qi Zhou

Qi Zhou

Guangdong University of Technology

Publications: 40

Shengyuan Xu

Shengyuan Xu

Nanjing University of Science and Technology

Publications: 39

Huaguang Zhang

Huaguang Zhang

Northeastern University

Publications: 34

Tieshan Li

Tieshan Li

University of Electronic Science and Technology of China

Publications: 34

Jinde Cao

Jinde Cao

Southeast University

Publications: 33

Jianbin Qiu

Jianbin Qiu

Harbin Institute of Technology

Publications: 30

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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