D-Index & Metrics Best Publications
Electronics and Electrical Engineering
Taiwan
2023

D-Index & Metrics 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.

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 64 Citations 11,369 293 World Ranking 775 National Ranking 10

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award

2022 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award

2017 - IEEE Fellow For contributions to intelligent control systems for motor drives and motion control

Overview

What is he best known for?

The fields of study Faa-Jeng Lin is best known for:

  • Induction motor
  • Synchronous motor
  • Control engineering

His research on Artificial intelligence often connects related topics like Adaptive control. He combines Adaptive control and Control system in his studies. He merges Control system with Motion control in his study. The study of Motion control is intertwined with the study of Robot in a number of ways. Faa-Jeng Lin performs integrative study on Robot and Artificial intelligence in his works. Control (management) and Control theory (sociology) are frequently intertwined in his study. His Control theory (sociology) study frequently draws connections between adjacent fields such as Control (management). His Electrical engineering study frequently links to other fields, such as Magnet. His research on Magnet frequently connects to adjacent areas such as Electrical engineering.

His most cited work include:

  • Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive (244 citations)
  • A supervisory fuzzy neural network control system for tracking periodic inputs (181 citations)
  • Robust Fuzzy Neural Network Sliding-Mode Control for Two-Axis Motion Control System (157 citations)

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

Sliding mode control and Lyapunov function are all intrinsically tied to his study in Nonlinear system. With his scientific publications, his incorporates both Lyapunov function and Nonlinear system. Artificial intelligence is closely attributed to Control theory (sociology) in his research. As part of his studies on Control theory (sociology), Faa-Jeng Lin often connects relevant subjects like Control (management). Control (management) is closely attributed to Artificial intelligence in his work. Much of his study explores Electrical engineering relationship to Induction motor. Induction motor is frequently linked to Voltage in his study. His Voltage study frequently links to adjacent areas such as Inverter. Inverter connects with themes related to Electrical engineering in his study.

Faa-Jeng Lin most often published in these fields:

  • Artificial intelligence (98.62%)
  • Control (management) (95.17%)
  • Control theory (sociology) (93.79%)

What were the highlights of his more recent work (between 2018-2022)?

  • Control (management) (93.75%)
  • Artificial intelligence (93.75%)
  • Control theory (sociology) (87.50%)

In recent works Faa-Jeng Lin was focusing on the following fields of study:

His research brings together the fields of Control theory (sociology) and Control (management). His Control (management) research extends to Control theory (sociology), which is thematically connected. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Servomotor. Servomotor and Artificial intelligence are commonly linked in his work. With his scientific publications, his incorporates both Electrical engineering and Automotive engineering. His multidisciplinary approach integrates Automotive engineering and Electrical engineering in his work. He undertakes interdisciplinary study in the fields of Control engineering and Mechanical engineering through his research. Faa-Jeng Lin performs multidisciplinary study on Mechanical engineering and Control engineering in his works. In his work, he performs multidisciplinary research in Fuzzy logic and Artificial neural network.

Between 2018 and 2022, his most popular works were:

  • Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed (57 citations)
  • New Super-Twisting Zeroing Neural-Dynamics Model for Tracking Control of Parallel Robots: A Finite-Time and Robust Solution (38 citations)
  • Intelligent Backstepping Control Using Recurrent Feature Selection Fuzzy Neural Network for Synchronous Reluctance Motor Position Servo Drive System (35 citations)

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

  • Reluctance motor
  • Magnetic reluctance
  • Microgrid

His research on Artificial intelligence frequently links to adjacent areas such as Selection (genetic algorithm). His research combines Artificial intelligence and Selection (genetic algorithm). His research brings together the fields of Control theory (sociology) and Control (management). His research on Control theory (sociology) frequently connects to adjacent areas such as Control (management). His work blends Control engineering and Intelligent control studies together. He integrates Intelligent control with Control engineering in his study. Quantum mechanics and Applied mathematics are two areas of study in which he engages in interdisciplinary work. He integrates several fields in his works, including Applied mathematics and Quantum mechanics. In his works, Faa-Jeng Lin undertakes multidisciplinary study on Nonlinear system and Lyapunov function.

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

Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive

Faa-Jeng Lin;Chih-Hong Lin;Po-Hung Shen.
IEEE Transactions on Fuzzy Systems (2001)

301 Citations

Robust Nonsingular Terminal Sliding-Mode Control for Nonlinear Magnetic Bearing System

Syuan-Yi Chen;Faa-Jeng Lin.
IEEE Transactions on Control Systems and Technology (2011)

267 Citations

Adaptive backstepping sliding mode control for linear induction motor drive

F.-J. Lin;P.-H. Shen;S.-P. Hsu.
IEE Proceedings - Electric Power Applications (2002)

259 Citations

Adaptive fuzzy sliding-mode control for PM synchronous servo motor drives

F.-J. Lin;S.-L. Chiu.
IEE Proceedings - Control Theory and Applications (1998)

241 Citations

A supervisory fuzzy neural network control system for tracking periodic inputs

Faa-Jeng Lin;Wen-Jyi Hwang;Rong-Jong Wai.
IEEE Transactions on Fuzzy Systems (1999)

227 Citations

Robust Fuzzy Neural Network Sliding-Mode Control for Two-Axis Motion Control System

Faa-Jeng Lin;Po-Hung Shen.
IEEE Transactions on Industrial Electronics (2006)

191 Citations

Real-time IP position controller design with torque feedforward control for PM synchronous motor

Faa-Jeng Lin.
IEEE Transactions on Industrial Electronics (1997)

181 Citations

Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network

Faa-Jeng Lin;Po-Huan Chou.
IEEE Transactions on Industrial Electronics (2009)

176 Citations

A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller

Faa-Jeng Lin;Chih-Hong Lin.
IEEE Transactions on Energy Conversion (2004)

168 Citations

DSP-Based Cross-Coupled Synchronous Control for Dual Linear Motors via Intelligent Complementary Sliding Mode Control

Faa-Jeng Lin;Po-Huan Chou;Chin-Sheng Chen;Yu-Sheng Lin.
IEEE Transactions on Industrial Electronics (2012)

164 Citations

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