H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 104 Citations 31,026 316 World Ranking 22 National Ranking 3

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Nonlinear system

Shaocheng Tong mainly investigates Control theory, Nonlinear system, Adaptive control, Fuzzy logic and Backstepping. His Fuzzy control system, State observer, Adaptive system, Adaptive neuro fuzzy inference system and Lyapunov function study are his primary interests in Control theory. His biological study spans a wide range of topics, including Fuzzy set and Robust control.

Shaocheng Tong has researched Nonlinear system in several fields, including Artificial neural network and Control theory. His Adaptive control research is multidisciplinary, incorporating elements of Control system and Mathematical optimization. His Backstepping study introduces a deeper knowledge of Control engineering.

His most cited work include:

  • Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems (450 citations)
  • Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints (441 citations)
  • Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems (436 citations)

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

Shaocheng Tong mainly focuses on Control theory, Nonlinear system, Fuzzy logic, Backstepping and Adaptive control. His research in Fuzzy control system, State observer, Adaptive neuro fuzzy inference system, Observer and Control theory are components of Control theory. His studies in Nonlinear system integrate themes in fields like Artificial neural network, Mathematical optimization and Adaptive system.

The Fuzzy logic study combines topics in areas such as Control system, Control, Decentralised system and Control engineering. His Backstepping research is multidisciplinary, relying on both Nonlinear control, Optimal control, Lyapunov stability and Actuator. His work carried out in the field of Adaptive control brings together such families of science as Stability, Discrete time and continuous time and Sliding mode control.

He most often published in these fields:

  • Control theory (98.51%)
  • Nonlinear system (75.82%)
  • Fuzzy logic (64.48%)

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

  • Control theory (98.51%)
  • Nonlinear system (75.82%)
  • Backstepping (61.19%)

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

His primary areas of study are Control theory, Nonlinear system, Backstepping, Fuzzy logic and Lyapunov function. His research investigates the connection with Control theory and areas like Control which intersect with concerns in Fuzzy adaptive. His study in State observer and Adaptive control is done as part of Nonlinear system.

The concepts of his State observer study are interwoven with issues in Logarithm and Robustness. His research integrates issues of Observer and Optimal control in his study of Backstepping. His research in the fields of Fuzzy logic system overlaps with other disciplines such as Saturation.

Between 2019 and 2021, his most popular works were:

  • Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions (94 citations)
  • Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems (59 citations)
  • Barrier Lyapunov Function-Based Adaptive Fuzzy FTC for Switched Systems and Its Applications to Resistance–Inductance–Capacitance Circuit System (54 citations)

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

  • Control theory
  • Artificial intelligence
  • Algebra

Shaocheng Tong spends much of his time researching Control theory, Nonlinear system, Backstepping, Fuzzy logic and Control theory. Much of his study explores Control theory relationship to Artificial neural network. He studies Nonlinear system, focusing on State observer in particular.

His research in Backstepping tackles topics such as Lyapunov stability which are related to areas like State variable. His research on Fuzzy logic frequently connects to adjacent areas such as Observer. His Adaptive control study combines topics in areas such as Active suspension and LKFS.

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.

Top Publications

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

Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems

Yan Jun Liu;Shaocheng Tong.
Automatica (2017)

557 Citations

Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints

Yan-Jun Liu;Shaocheng Tong.
Automatica (2016)

544 Citations

Fuzzy Approximation-Based Adaptive Backstepping Optimal Control for a Class of Nonlinear Discrete-Time Systems With Dead-Zone

Yan-Jun Liu;Ying Gao;Shaocheng Tong;Yongming Li.
IEEE Transactions on Fuzzy Systems (2016)

423 Citations

Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

Shaocheng Tong;Yue Li;Yongming Li;Yanjun Liu.
systems man and cybernetics (2011)

410 Citations

Adaptive Fuzzy Control Design for Stochastic Nonlinear Switched Systems With Arbitrary Switchings and Unmodeled Dynamics

Yongming Li;Shuai Sui;Shaocheng Tong.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

401 Citations

Fuzzy adaptive sliding-mode control for MIMO nonlinear systems

Shaocheng Tong;Han-Xiong Li.
IEEE Transactions on Fuzzy Systems (2003)

395 Citations

Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones

Shaocheng Tong;Lili Zhang;Yongming Li.
systems man and cybernetics (2016)

395 Citations

A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control

Shao-Cheng Tong;Xiang-Lei He;Hua-Guang Zhang.
IEEE Transactions on Fuzzy Systems (2009)

393 Citations

Fuzzy-Adaptive Decentralized Output-Feedback Control for Large-Scale Nonlinear Systems With Dynamical Uncertainties

Shaocheng Tong;Changliang Liu;Yongming Li.
IEEE Transactions on Fuzzy Systems (2010)

393 Citations

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

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

Contact us

Top Scientists Citing Shaocheng Tong

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 128

C. L. Philip Chen

C. L. Philip Chen

University of Macau

Publications: 122

Peng Shi

Peng Shi

University of Adelaide

Publications: 105

Huanqing Wang

Huanqing Wang

Carleton University

Publications: 91

Huaguang Zhang

Huaguang Zhang

Northeastern University

Publications: 89

Chong Lin

Chong Lin

Qingdao University

Publications: 89

Xiaoping Liu

Xiaoping Liu

Lakehead University

Publications: 86

Bing Chen

Bing Chen

Qingdao University

Publications: 79

Hongyi Li

Hongyi Li

Bohai University

Publications: 76

Zhi Liu

Zhi Liu

Guangdong University of Technology

Publications: 72

Yun Zhang

Yun Zhang

Guangdong University of Technology

Publications: 71

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 65

Wei He

Wei He

University of Science and Technology Beijing

Publications: 63

Hak-Keung Lam

Hak-Keung Lam

King's College London

Publications: 58

Qi Zhou

Qi Zhou

Guangdong University of Technology

Publications: 57

Something went wrong. Please try again later.