World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
81
Citations
23723
World Ranking
502
National Ranking
233

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Mechanical engineering

Darren M. Dawson mainly investigates Control theory, Control engineering, Control theory, Adaptive control and Robot. His study looks at the relationship between Control theory and topics such as Artificial intelligence, which overlap with Computer vision. His work deals with themes such as Bounded function, Robot control, Automatic control and Robot manipulator, which intersect with Control engineering.

The study incorporates disciplines such as Visual servoing, Mobile robot, Attitude control, Observer and Setpoint in addition to Control theory. His Adaptive control research is multidisciplinary, incorporating elements of Control system, Quaternion and Open-loop controller. His Robot study combines topics in areas such as Control, Simulation, Actuator and Continuum.

His most cited work include:

  • Control of Robot Manipulators (937 citations)
  • Robot Manipulator Control: Theory and Practice (546 citations)
  • A continuous asymptotic tracking control strategy for uncertain nonlinear systems (402 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 theory, Control engineering, Adaptive control and Nonlinear system. His Control theory study typically links adjacent topics like Robot. His Control theory research includes themes of Exponential stability, Actuator, Artificial intelligence and Rotor.

His Control engineering research focuses on Robot control and how it relates to Robot kinematics. The concepts of his Adaptive control study are interwoven with issues in Nonlinear control, Full state feedback, Torque and Automatic control. He combines subjects such as Observer and Stability with his study of Nonlinear system.

He most often published in these fields:

  • Control theory (79.66%)
  • Control theory (49.51%)
  • Control engineering (46.81%)

What were the highlights of his more recent work (between 2006-2019)?

  • Control theory (79.66%)
  • Control theory (49.51%)
  • Control engineering (46.81%)

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

Darren M. Dawson focuses on Control theory, Control theory, Control engineering, Adaptive control and Nonlinear system. His Control theory study frequently draws connections between related disciplines such as Robot. His research investigates the connection between Robot and topics such as Kinematics that intersect with problems in Geometric modeling.

His research investigates the link between Control theory and topics such as Stability that cross with problems in Teleoperation. In his study, which falls under the umbrella issue of Control engineering, Artificial neural network is strongly linked to Robot control. The Adaptive control study which covers Control system that intersects with Torque.

Between 2006 and 2019, his most popular works were:

  • A Neural Network Controller for Continuum Robots (103 citations)
  • Homography-Based Visual Servo Control With Imperfect Camera Calibration (75 citations)
  • Dynamic Modelling for Planar Extensible Continuum Robot Manipulators (68 citations)

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

  • Control theory
  • Artificial intelligence
  • Mechanical engineering

Darren M. Dawson mainly investigates Control theory, Control engineering, Control theory, Robot and Adaptive control. His Remotely operated underwater vehicle research extends to the thematically linked field of Control theory. Darren M. Dawson has included themes like Transient, Computer simulation and Robot manipulator in his Control engineering study.

His Control theory study integrates concerns from other disciplines, such as Duty cycle, Pulse-width modulation, Photovoltaic system, Maximum power principle and Electronic engineering. His research in Robot intersects with topics in Sliding mode control, Orientation and Continuum. His research on Adaptive control often connects related areas such as Nonlinear control.

Best Publications

  • Control of Robot Manipulators

    Frank L. Lewis;D. M. Dawson;C. T. Abdallah

  • Robot Manipulator Control: Theory and Practice

    Frank L. Lewis;Darren M. Dawson;Chaouki T. Abdallah

  • A continuous asymptotic tracking control strategy for uncertain nonlinear systems

    B. Xian;D.M. Dawson;M.S. de Queiroz;J. Chen

  • Field trials and testing of the OctArm continuum manipulator

    W. McMahan;V. Chitrakaran;M. Csencsits;D. Dawson

  • Survey of robust control for rigid robots

    C. Abdallah;D.M. Dawson;P. Dorato;M. Jamshidi

  • Nonlinear Control of Wheeled Mobile Robots

    Warren E. Dixon;Darren M. Dawson;Erkan Zergeroglu;Aman Behal

  • Nonlinear coupling control laws for an underactuated overhead crane system

    Y. Fang;W.E. Dixon;D.M. Dawson;E. Zergeroglu

  • Lyapunov-Based Control of Mechanical Systems

    de Queiroz;DM Dawson;SP Nagarkatti;Fumin Zhang

  • Nonlinear Control of Electric Machinery

    D. M. Dawson;Jun Hu;Timothy C. Burg

  • Quaternion-Based Adaptive Attitude Tracking Controller Without Velocity Measurements

    B. T. Costic;D. M. Dawson;M. S. De Queiroz;V. Kapila

  • Integrator backstepping control of a brush DC motor turning a robotic load

    D.M. Dawson;J.J. Carroll;M. Schneider

  • Robust Tracking Control of Robot Manipulators

    Zhihua Qu;Darren M. Dawson

  • Continuum Robot Arms Inspired by Cephalopods

    Ian D. Walker;Darren M. Dawson;Tamar Flash;Frank W. Grasso

  • Tracking control of mechanical systems in the presence of nonlinear dynamic friction effects

    P. Vedagarbha;D.M. Dawson;M. Feemster

  • Repetitive learning control: a Lyapunov-based approach

    W.E. Dixon;E. Zergeroglu;D.M. Dawson;B.T. Costic

  • Adaptive tracking control of a wheeled mobile robot via an uncalibrated camera system

    W.E. Dixon;D.M. Dawson;E. Zergeroglu;A. Behal

  • Homography-based visual servo regulation of mobile robots

    Yongchun Fang;W.E. Dixon;D.M. Dawson;P. Chawda

  • A sufficiently smooth projection operator

    Z. Cai;M.S. de Queiroz;D.M. Dawson

  • A Neural Network Controller for Continuum Robots

    D. Braganza;D.M. Dawson;I.D. Walker;N. Nath

  • Fault detection for robot manipulators with parametric uncertainty: a prediction error based approach

    W.E. Dixon;I.D. Walker;D.M. Dawson;J.P. Hartranft

  • Proceedings of the American Control Conference

    P. Setlur;John R Wagner;D. Dawson;J. Chen

Frequent Co-Authors

Warren E. Dixon
Warren E. Dixon University of Florida
Aman Behal
Aman Behal University of Central Florida
Zhihua Qu
Zhihua Qu University of Central Florida
Ian D. Walker
Ian D. Walker Clemson University
Yongchun Fang
Yongchun Fang Nankai University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Chaouki T. Abdallah
Chaouki T. Abdallah Georgia Institute of Technology
Yi Qian
Yi Qian University of Nebraska–Lincoln
Miroslav Krstic
Miroslav Krstic University of California, San Diego
Qiming Zhang
Qiming Zhang Pennsylvania State University

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