H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 86 Citations 23,877 494 World Ranking 103 National Ranking 4

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Electrical engineering

His primary areas of investigation include Control theory, Nonlinear system, Control engineering, Adaptive control and Control theory. Adaptive system is closely connected to Artificial neural network in his research, which is encompassed under the umbrella topic of Control theory. His Nonlinear system research is multidisciplinary, incorporating perspectives in Discrete time and continuous time, Bounded function and Fuzzy control system.

His Control engineering course of study focuses on Linear system and Controllability, Reachability, Observability and Process control. His work in Adaptive control tackles topics such as Compensation which are related to areas like Trajectory. His study in Control theory is interdisciplinary in nature, drawing from both Iterative learning control, Dead time and Pendulum.

His most cited work include:

  • Stable Adaptive Neural Network Control (606 citations)
  • Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients (531 citations)
  • Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function (525 citations)

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

Control theory, Control engineering, Nonlinear system, Control theory and Adaptive control are his primary areas of study. His work on Artificial neural network expands to the thematically related Control theory. The Control engineering study combines topics in areas such as Iterative learning control, Control, Robot, Motion control and Robustness.

His research integrates issues of Discrete time and continuous time, Bounded function and Mathematical optimization in his study of Nonlinear system. His Adaptive control research incorporates themes from Tracking error, Lyapunov function and Adaptive system. The concepts of his Servomechanism study are interwoven with issues in Servo and Actuator.

He most often published in these fields:

  • Control theory (64.24%)
  • Control engineering (29.00%)
  • Nonlinear system (22.89%)

What were the highlights of his more recent work (between 2013-2021)?

  • Control theory (64.24%)
  • Mathematical optimization (10.92%)
  • Control theory (21.20%)

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

Tong Heng Lee mainly focuses on Control theory, Mathematical optimization, Control theory, Control engineering and Artificial intelligence. His Control theory research integrates issues from Mechatronics and Impedance control. Tong Heng Lee has included themes like Probabilistic logic, Model predictive control and Nonlinear system in his Mathematical optimization study.

His Control theory study incorporates themes from Stability and Parameterized complexity. His Control engineering research is multidisciplinary, relying on both Automation, Control, Pendulum and Robot control. His research in Artificial intelligence intersects with topics in Detector, Computer vision and Pattern recognition.

Between 2013 and 2021, his most popular works were:

  • Design and Implementation of Integral Sliding-Mode Control on an Underactuated Two-Wheeled Mobile Robot (192 citations)
  • Distributed control of angle-constrained cyclic formations using bearing-only measurements (57 citations)
  • Design and implementation of a new sliding mode controller on an underactuated wheeled inverted pendulum (48 citations)

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

  • Artificial intelligence
  • Control theory
  • Electrical engineering

Tong Heng Lee mostly deals with Control theory, Trajectory, Control engineering, Mathematical optimization and Control theory. His Control theory research includes elements of Measure and Bearing. His Control engineering study combines topics from a wide range of disciplines, such as Actuator, Flight test, Avionics and Pendulum.

He combines subjects such as Probabilistic logic, Model predictive control and Nonlinear system with his study of Mathematical optimization. In his research, Applied mathematics is intimately related to Gauss–Seidel method, which falls under the overarching field of Control theory. As a part of the same scientific family, Tong Heng Lee mostly works in the field of Adaptive control, focusing on PID controller and, on occasion, Spacecraft.

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

Stable Adaptive Neural Network Control

S. S. Ge;C. C. Hang;T. H. Lee;Tao Zhang.
(2001)

1080 Citations

Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients

S.S. Ge;Fan Hong;Tong Heng Lee.
systems man and cybernetics (2004)

598 Citations

Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function

Beibei Ren;Shuzhi Sam Ge;Keng Peng Tee;Tong Heng Lee.
IEEE Transactions on Neural Networks (2010)

561 Citations

Composite nonlinear feedback control for linear systems with input saturation: theory and an application

B.M. Chen;T.H. Lee;Kemao Peng;V. Venkataramanan.
IEEE Transactions on Automatic Control (2003)

486 Citations

Controllability and reachability criteria for switched linear systems

Zhendong Sun;S. S. Ge;T. H. Lee.
Automatica (2002)

486 Citations

PID tuning for improved performance

Qing-Guo Wang;Tong-Heng Lee;Ho-Wang Fung;Qiang Bi.
IEEE Transactions on Control Systems and Technology (1999)

458 Citations

Unmanned Rotorcraft Systems

Guowei Cai;Ben M. Chen;Tong Heng Lee.
(2011)

428 Citations

Multiobjective Evolutionary Algorithms and Applications

K. C. Tan;E. F. Khor;T. H. Lee.
(2005)

380 Citations

Adaptive neural network control of nonlinear systems with unknown time delays

S.S. Ge;Fan Hong;Tong Heng Lee.
IEEE Transactions on Automatic Control (2003)

354 Citations

Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons

K. C. Tan;T. H. Lee;E. F. Khor.
Artificial Intelligence Review (2002)

353 Citations

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

Contact us

Best Scientists Citing Tong Heng Lee

Shuzhi Sam Ge

Shuzhi Sam Ge

National University of Singapore

Publications: 160

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 69

Ben M. Chen

Ben M. Chen

Chinese University of Hong Kong

Publications: 68

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 59

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 58

Kok Kiong Tan

Kok Kiong Tan

National University of Singapore

Publications: 56

Wei He

Wei He

University of Science and Technology Beijing

Publications: 55

Kay Chen Tan

Kay Chen Tan

Hong Kong Polytechnic University

Publications: 52

Chenguang Yang

Chenguang Yang

South China University of Technology

Publications: 52

Jian-Xin Xu

Jian-Xin Xu

National University of Singapore

Publications: 51

Chun-Yi Su

Chun-Yi Su

Concordia University

Publications: 47

Qingling Zhang

Qingling Zhang

Yale University

Publications: 46

Sunan Huang

Sunan Huang

National University of Singapore

Publications: 43

Qing-Guo Wang

Qing-Guo Wang

National University of Singapore

Publications: 42

Peng Shi

Peng Shi

University of Adelaide

Publications: 42

C. L. Philip Chen

C. L. Philip Chen

University of Macau

Publications: 40

Something went wrong. Please try again later.