D-Index & Metrics Best Publications
Mechanical and Aerospace Engineering
Canada
2022

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 15,252 333 World Ranking 309 National Ranking 18
Mechanical and Aerospace Engineering D-index 69 Citations 15,360 344 World Ranking 84 National Ranking 5

Research.com Recognitions

Awards & Achievements

2022 - Research.com Mechanical and Aerospace Engineering in Canada Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

Chun-Yi Su spends much of his time researching Control theory, Adaptive control, Nonlinear system, Control theory and Control engineering. His studies in Control theory integrate themes in fields like Fuzzy logic and Motion control. His Adaptive control research is multidisciplinary, relying on both Control system, Linear system, Dynamical system, Exponential stability and Lyapunov function.

His work on Nonlinear control as part of his general Nonlinear system study is frequently connected to Hysteresis, thereby bridging the divide between different branches of science. His Control theory study combines topics in areas such as Discrete time and continuous time and System identification. His Control engineering study incorporates themes from Testbed, Robot control and Nonholonomic system.

His most cited work include:

  • Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis (468 citations)
  • Robust adaptive control of a class of nonlinear systems with unknown dead-zone (439 citations)
  • Adaptive control of a class of nonlinear systems with fuzzy logic (342 citations)

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

Chun-Yi Su mainly focuses on Control theory, Adaptive control, Nonlinear system, Control theory and Control engineering. His research ties Robot and Control theory together. His biological study spans a wide range of topics, including Stability, Exponential stability, Motion control, Tracking error and Trajectory.

His work on Nonlinear control as part of general Nonlinear system research is frequently linked to Hysteresis, bridging the gap between disciplines. His Control theory research incorporates elements of Observer, Fuzzy logic and Nonholonomic system. His Control engineering study combines topics from a wide range of disciplines, such as Control and Robustness.

He most often published in these fields:

  • Control theory (87.44%)
  • Adaptive control (39.07%)
  • Nonlinear system (35.35%)

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

  • Control theory (87.44%)
  • Robot (21.40%)
  • Control theory (30.47%)

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

Control theory, Robot, Control theory, Nonlinear system and Artificial neural network are his primary areas of study. His research related to Actuator, Adaptive control, Lyapunov function, Trajectory and Control system might be considered part of Control theory. Chun-Yi Su interconnects Simulation and Exoskeleton in the investigation of issues within Robot.

His research in Control theory intersects with topics in Stability, Fuzzy logic and Mobile robot. His work carried out in the field of Nonlinear system brings together such families of science as Function, Particle swarm optimization and Bounded function. His Artificial neural network research is multidisciplinary, incorporating elements of Observer, Robustness and Robot manipulator.

Between 2015 and 2021, his most popular works were:

  • Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey (277 citations)
  • Neural Control of Bimanual Robots With Guaranteed Global Stability and Motion Precision (220 citations)
  • Teleoperation Control Based on Combination of Wave Variable and Neural Networks (207 citations)

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

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

His primary areas of study are Control theory, Robot, Artificial neural network, Nonlinear system and Control theory. The various areas that Chun-Yi Su examines in his Control theory study include Control engineering and Robot kinematics. His Robot research integrates issues from Simulation, Exoskeleton and Trajectory.

His research integrates issues of Algorithm design and Particle swarm optimization in his study of Nonlinear system. His studies deal with areas such as Stability, Object, Stiffness and Fuzzy logic as well as Control theory. His Adaptive control research focuses on Tracking error and how it relates to Nonlinear control.

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 control of a class of nonlinear systems with unknown backlash-like hysteresis

C.-Y. Su;Y. Stepanenko;J. Svoboda;T.P. Leung.
IEEE Transactions on Automatic Control (2000)

565 Citations

Robust adaptive control of a class of nonlinear systems with unknown dead-zone

Xing-Song Wang;Chun-Yi Su;Henry Hong.
Automatica (2004)

553 Citations

Adaptive control of a class of nonlinear systems with fuzzy logic

Chun-Yi Su;Y. Stepanenko.
IEEE Transactions on Fuzzy Systems (1994)

470 Citations

An Analytical Generalized Prandtl–Ishlinskii Model Inversion for Hysteresis Compensation in Micropositioning Control

Mohammad Al Janaideh;Subhash Rakheja;Chun-Yi Su.
IEEE-ASME Transactions on Mechatronics (2011)

354 Citations

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

Guo-Ying Gu;Li-Min Zhu;Chun-Yi Su;Han Ding.
IEEE Transactions on Automation Science and Engineering (2016)

346 Citations

Adaptive variable structure control of a class of nonlinear systems with unknown Prandtl-Ishlinskii hysteresis

Chun-Yi Su;Qingqing Wang;Xinkai Chen;S. Rakheja.
IEEE Transactions on Automatic Control (2005)

342 Citations

Neural Control of Bimanual Robots With Guaranteed Global Stability and Motion Precision

Chenguang Yang;Yiming Jiang;Zhijun Li;Wei He.
IEEE Transactions on Industrial Informatics (2017)

306 Citations

Brief paper: Adaptive tracking of nonlinear systems with non-symmetric dead-zone input

Salim Ibrir;Wen Fang Xie;Chun-Yi Su.
Automatica (2007)

302 Citations

T-S Fuzzy-Model-Based Robust $H_{\infty}$ Design for Networked Control Systems With Uncertainties

Huaguang Zhang;Jun Yang;Chun-Yi Su.
IEEE Transactions on Industrial Informatics (2007)

301 Citations

Modeling and Compensation of Asymmetric Hysteresis Nonlinearity for Piezoceramic Actuators With a Modified Prandtl–Ishlinskii Model

Guo-Ying Gu;Li-Min Zhu;Chun-Yi Su.
IEEE Transactions on Industrial Electronics (2014)

254 Citations

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