H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 39 Citations 6,092 212 World Ranking 1942 National Ranking 39

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Electrical engineering

Kok Kiong Tan focuses on Control theory, Control engineering, Nonlinear system, Adaptive control and Control theory. His studies in Control theory integrate themes in fields like Artificial neural network and Motion control. The various areas that Kok Kiong Tan examines in his Control engineering study include Relay, Automatic control, Actuator, Noise and Injector.

His Nonlinear system research incorporates elements of Stability, Model predictive control and Observer. His Adaptive control study which covers Compensation that intersects with Trajectory. His Control theory study incorporates themes from Iterative learning control, Exponential stability, Decentralised system and Transfer function.

His most cited work include:

  • Robust adaptive numerical compensation for friction and force ripple in permanent-magnet linear motors (186 citations)
  • Decentralized control design for large-scale systems with strong interconnections using neural networks (114 citations)
  • Precision motion control with disturbance observer for pulsewidth-modulated-driven permanent-magnet linear motors (111 citations)

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

Control theory, Control engineering, Control theory, Motion control and PID controller are his primary areas of study. His research investigates the connection between Control theory and topics such as Relay that intersect with issues in Limit cycle. His Control engineering study combines topics in areas such as Control, Model predictive control, Actuator and Robustness.

He regularly ties together related areas like Process control in his Control theory studies. His work focuses on many connections between Motion control and other disciplines, such as Linear motor, that overlap with his field of interest in Ripple. As a member of one scientific family, Kok Kiong Tan mostly works in the field of Nonlinear system, focusing on Artificial neural network and, on occasion, Stability and Algorithm.

He most often published in these fields:

  • Control theory (55.99%)
  • Control engineering (29.81%)
  • Control theory (17.83%)

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

  • Control theory (55.99%)
  • Control engineering (29.81%)
  • Motion control (14.76%)

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

His primary areas of study are Control theory, Control engineering, Motion control, Control theory and Feed forward. Control theory and Match moving are frequently intertwined in his study. His Control engineering study combines topics from a wide range of disciplines, such as Automation, Control, Model predictive control and System dynamics.

His work carried out in the field of Motion control brings together such families of science as Artificial neural network, Motion system, Work, Nonlinear system and Kalman filter. His Control theory study focuses on PID controller in particular. His research on Feed forward also deals with topics like

  • Feedforward neural network, which have a strong connection to Control system,
  • Compensation which is related to area like Inverse hysteresis.

Between 2015 and 2021, his most popular works were:

  • Development of a Genetic-Algorithm-Based Nonlinear Model Predictive Control Scheme on Velocity and Steering of Autonomous Vehicles (60 citations)
  • An RBF neural network approach towards precision motion system with selective sensor fusion (40 citations)
  • Vision-based approach towards lane line detection and vehicle localization (37 citations)

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

  • Artificial intelligence
  • Control theory
  • Electrical engineering

His scientific interests lie mostly in Control theory, Control theory, Motion control, Control engineering and Motion system. His work on PID controller and Robust control as part of his general Control theory study is frequently connected to Cartesian coordinate system, thereby bridging the divide between different branches of science. State space, Stability and Optimal control is closely connected to Decentralised system in his research, which is encompassed under the umbrella topic of Control theory.

His research in Motion control intersects with topics in Work in process and Compensation. His Control engineering research is multidisciplinary, incorporating elements of Discretization, System dynamics and Nonlinear system. The Motion system study combines topics in areas such as Artificial neural network, Stability and Match moving.

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

Robust adaptive numerical compensation for friction and force ripple in permanent-magnet linear motors

K.K. Tan;S.N. Huang;T.H. Lee.
IEEE Transactions on Magnetics (2002)

309 Citations

Precision motion control with disturbance observer for pulsewidth-modulated-driven permanent-magnet linear motors

Kok Kiong Tan;Tong Heng Lee;Hui Fang Dou;Shok Jun Chin.
IEEE Transactions on Magnetics (2003)

162 Citations

Decentralized control design for large-scale systems with strong interconnections using neural networks

Sunan Huang;Kok Kiong Tan;Tong Heng Lee.
IEEE Transactions on Automatic Control (2003)

161 Citations

Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions

Zhang Yi;Kok Kiong Tan.
IEEE Transactions on Neural Networks (2004)

154 Citations

New interpolation method for quadrature encoder signals

K.K. Tan;H.X. Zhou;Tong Heng Lee.
IEEE Transactions on Instrumentation and Measurement (2002)

150 Citations

Micro-positioning of linear-piezoelectric motors based on a learning nonlinear PID controller

K.K. Tan;Tong Heng Lee;H.X. Zhou.
IEEE-ASME Transactions on Mechatronics (2001)

141 Citations

High precision linear motor control via relay-tuning and iterative learning based on zero-phase filtering

Kok Kiong Tan;Huifang Dou;Yangquan Chen;Tong Heng Lee.
IEEE Transactions on Control Systems and Technology (2001)

140 Citations

Finite-Spectrum Assignment for Time-Delay Systems

Qing-Guo Wang;Tong Heng Lee;Kok Kiong Tan.
(1998)

136 Citations

Adaptive feedforward compensation of force ripples in linear motors

S. Zhao;K.K. Tan.
Control Engineering Practice (2005)

127 Citations

Non-Imaging, Focusing Heliostat

Y.T. Chen;K.K. Chong;T.P. Bligh;L.C. Chen.
Solar Energy (2001)

122 Citations

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Best Scientists Citing Kok Kiong Tan

Qingsong Xu

Qingsong Xu

University of Macau

Publications: 52

Zhang Yi

Zhang Yi

Sichuan University

Publications: 45

YangQuan Chen

YangQuan Chen

University of California, Merced

Publications: 40

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 35

Sunan Huang

Sunan Huang

National University of Singapore

Publications: 23

Zhigang Zeng

Zhigang Zeng

Huazhong University of Science and Technology

Publications: 21

Bin Yao

Bin Yao

Purdue University West Lafayette

Publications: 20

Furong Gao

Furong Gao

Hong Kong University of Science and Technology

Publications: 20

Tong Heng Lee

Tong Heng Lee

National University of Singapore

Publications: 16

Hyo-Sung Ahn

Hyo-Sung Ahn

Gwangju Institute of Science and Technology

Publications: 16

Sarangapani Jagannathan

Sarangapani Jagannathan

Missouri University of Science and Technology

Publications: 16

Han Ding

Han Ding

Shanghai Jiao Tong University

Publications: 16

Imre J. Rudas

Imre J. Rudas

Óbuda University

Publications: 16

Chun-Yi Su

Chun-Yi Su

Concordia University

Publications: 15

Masayoshi Tomizuka

Masayoshi Tomizuka

University of California, Berkeley

Publications: 13

Yangmin Li

Yangmin Li

Hong Kong Polytechnic University

Publications: 12

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