D-Index & Metrics Best Publications

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 83 Citations 31,089 733 World Ranking 124 National Ranking 69
Mechanical and Aerospace Engineering D-index 83 Citations 31,686 750 World Ranking 34 National Ranking 20

Research.com Recognitions

Awards & Achievements

2018 - Richard E. Bellman Control Heritage Award

2010 - Fellow of the International Federation of Automatic Control (IFAC)

2002 - Rufus Oldenburger Medal, The American Society of Mechanical Engineers

1997 - Charles Russ Richards Memorial Award, The American Society of Mechanical Engineers

1989 - Fellow of the American Society of Mechanical Engineers

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Mechanical engineering

His main research concerns Control theory, Control engineering, Control theory, Control system and Adaptive control. As part of his studies on Control theory, Masayoshi Tomizuka often connects relevant subjects like Motion control. The various areas that Masayoshi Tomizuka examines in his Control engineering study include Digital control, Robot, Trajectory and Automatic control.

His Control theory course of study focuses on Stability and Convergence. His Control system research is multidisciplinary, incorporating elements of Servomotor, Open-loop controller, Machine tool, Servomechanism and PID controller. His work on Backstepping as part of general Adaptive control study is frequently linked to Parametric statistics, therefore connecting diverse disciplines of science.

His most cited work include:

  • Zero Phase Error Tracking Algorithm for Digital Control (1270 citations)
  • Fuzzy gain scheduling of PID controllers (623 citations)
  • Automated vehicle control developments in the PATH program (608 citations)

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

The scientist’s investigation covers issues in Control theory, Control engineering, Control theory, Control system and Artificial intelligence. His research ties Motion control and Control theory together. His research integrates issues of Trajectory, Control, Actuator, Robot and Robustness in his study of Control engineering.

As part of one scientific family, Masayoshi Tomizuka deals mainly with the area of Actuator, narrowing it down to issues related to the Torque, and often Simulation. His Control theory research is multidisciplinary, relying on both Stability, Tracking and Digital control. His studies in Artificial intelligence integrate themes in fields like Machine learning and Computer vision.

He most often published in these fields:

  • Control theory (59.24%)
  • Control engineering (31.48%)
  • Control theory (26.97%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (14.77%)
  • Machine learning (5.66%)
  • Control theory (59.24%)

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

His primary areas of investigation include Artificial intelligence, Machine learning, Control theory, Robot and Trajectory. His work in Artificial intelligence tackles topics such as Computer vision which are related to areas like GRASP and Robustness. Control theory is closely attributed to Tracking in his work.

His Robot study combines topics in areas such as Control engineering, Task and Task. His work deals with themes such as Work, Vehicle dynamics and Automation, which intersect with Trajectory. He interconnects Stability, Control system and Motion control in the investigation of issues within Control theory.

Between 2017 and 2021, his most popular works were:

  • INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps. (66 citations)
  • RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement (61 citations)
  • Probabilistic Prediction of Vehicle Semantic Intention and Motion (52 citations)

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

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

His primary areas of study are Artificial intelligence, Machine learning, Trajectory, Probabilistic logic and Artificial neural network. His Machine learning study combines topics in areas such as Roundabout, Motion and Representation. His Trajectory study also includes

  • Vehicle dynamics which intersects with area such as Obstacle avoidance,
  • Robot and related Component.

His Probabilistic logic study also includes fields such as

  • Motion planning that connect with fields like Intelligent decision support system, Mathematical optimization and Optimal control,
  • Data mining which connect with Duration. His research investigates the connection with Artificial neural network and areas like Control theory which intersect with concerns in Computational complexity theory. His Nonlinear system study is concerned with the larger field of Control theory.

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

Zero Phase Error Tracking Algorithm for Digital Control

Masayoshi Tomizuka.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1987)

1814 Citations

Fuzzy gain scheduling of PID controllers

Zhen-Yu Zhao;M. Tomizuka;S. Isaka.
systems man and cybernetics (1993)

1037 Citations

Automated vehicle control developments in the PATH program

S.E. Shladover;C.A. Desoer;J.K. Hedrick;M. Tomizuka.
IEEE Transactions on Vehicular Technology (1991)

836 Citations

Analysis and Synthesis of Discrete-Time Repetitive Controllers

Masayoshi Tomizuka;Tsu-Chin Tsao;Kok-Kia Chew.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1989)

734 Citations

Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form

Bin Yao;Masayoshi Tomizuka.
Automatica (1997)

679 Citations

Robust motion controller design for high-accuracy positioning systems

Ho Seong Lee;M. Tomizuka.
IEEE Transactions on Industrial Electronics (1996)

630 Citations

Control issues in automated highway systems

J.K. Hedrick;M. Tomizuka;P. Varaiya.
IEEE Control Systems Magazine (1994)

533 Citations

Digital control of repetitive errors in disk drive systems

K.K. Chew;M. Tomizuka.
IEEE Control Systems Magazine (1990)

460 Citations

Control of Rotary Series Elastic Actuator for Ideal Force-Mode Actuation in Human–Robot Interaction Applications

Kyoungchul Kong;Joonbum Bae;M. Tomizuka.
IEEE-ASME Transactions on Mechatronics (2009)

367 Citations

Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms

Bin Yao;Masayoshi Tomizuka.
Automatica (2001)

346 Citations

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