H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 37 Citations 5,637 246 World Ranking 2209 National Ranking 5

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

His primary scientific interests are in Control theory, Control engineering, Control theory, Frequency domain and Model predictive control. His Control theory study frequently draws connections between related disciplines such as System identification. His Underactuation study, which is part of a larger body of work in Control engineering, is frequently linked to Exertion, bridging the gap between disciplines.

His Control theory research focuses on subjects like Control system, which are linked to Component, Software engineering, Software, Middleware and Embedded system. His Frequency domain research integrates issues from Modal analysis, Identification scheme, Adaptive control and Artificial intelligence. His Model predictive control research includes themes of Avionics and Attitude control.

His most cited work include:

  • Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances (241 citations)
  • Model predictive quadrotor control: attitude, altitude and position experimental studies (219 citations)
  • An Internet-based real-time control engineering laboratory (213 citations)

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

His primary areas of study are Control theory, Control theory, Control engineering, Adaptive control and Robot. His Control theory research is multidisciplinary, incorporating perspectives in Control and Bounded function. His Control theory research is multidisciplinary, incorporating elements of Control system, Optimal control, Vibration control, Input shaping and Trajectory.

His Control engineering research incorporates elements of Servomotor, Actuator, Model predictive control and Thrust vectoring. His Adaptive control research is multidisciplinary, relying on both Identification scheme, Linear system, Fuzzy logic and System identification. He focuses mostly in the field of Robot, narrowing it down to matters related to Real-time computing and, in some cases, Wireless sensor network.

He most often published in these fields:

  • Control theory (54.04%)
  • Control theory (25.35%)
  • Control engineering (24.23%)

What were the highlights of his more recent work (between 2014-2021)?

  • Robot (11.42%)
  • Control theory (54.04%)
  • Control engineering (24.23%)

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

His main research concerns Robot, Control theory, Control engineering, Mobile robot and Artificial intelligence. His Robot study combines topics from a wide range of disciplines, such as Real-time computing, Simulation, Actuator and Multirotor. Control theory is often connected to Model predictive control in his work.

His study in Control engineering is interdisciplinary in nature, drawing from both Parallel manipulator, Servomotor, Torque and Obstacle avoidance. His Mobile robot study integrates concerns from other disciplines, such as Voronoi diagram, Control, Multi-agent system and Algorithm. His Control research includes elements of Robot localization, Bounded function and Distributed computing.

Between 2014 and 2021, his most popular works were:

  • Distributed coverage control for concave areas by a heterogeneous Robot-Swarm with visibility sensing constraints (66 citations)
  • Robust Model Predictive Flight Control of Unmanned Rotorcrafts (58 citations)
  • Development and Control of a Multifunctional Prosthetic Hand with Shape Memory Alloy Actuators (57 citations)

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

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

Anthony Tzes focuses on Control theory, Control engineering, Robot, Artificial intelligence and Simulation. Particularly relevant to Control theory is his body of work in Control theory. Many of his research projects under Control engineering are closely connected to Power cable with Power cable, tying the diverse disciplines of science together.

His research integrates issues of Distributed computing and Actuator in his study of Robot. His study looks at the relationship between Artificial intelligence and topics such as Computer vision, which overlap with Visualization. His work deals with themes such as Field of view and Modular design, which intersect with Simulation.

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

An Internet-based real-time control engineering laboratory

J.W. Overstreet;A. Tzes.
IEEE Control Systems Magazine (1999)

398 Citations

Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances

Kostas Alexis;George Nikolakopoulos;Anthony Tzes.
Control Engineering Practice (2011)

333 Citations

Model predictive quadrotor control: attitude, altitude and position experimental studies

Kostas Alexis;George Nikolakopoulos;Anthony Tzes.
Iet Control Theory and Applications (2012)

317 Citations

An adaptive input shaping control scheme for vibration suppression in slewing flexible structures

A. Tzes;S. Yurkovich.
IEEE Transactions on Control Systems and Technology (1993)

264 Citations

Energy efficient and perceived QoS aware video routing over Wireless Multimedia Sensor Networks

Dionisis Kandris;Michail Tsagkaropoulos;Ilias Politis;Anthony Tzes.
ad hoc networks (2011)

158 Citations

Coordination of Helicopter UAVs for Aerial Forest-Fire Surveillance

K. Alexis;G. Nikolakopoulos;A. Tzes;L. Dritsas.
(2009)

145 Citations

Power Conservation through Energy Efficient Routing in Wireless Sensor Networks

Dionisis Kandris;Panagiotis Tsioumas;Anthony Tzes;George Nikolakopoulos.
Sensors (2009)

128 Citations

Closed-Loop Input Shaping for Flexible Structures Using Time-Delay Control

Vikram Kapila;Anthony Tzes;Qiguo Yan.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (2000)

104 Citations

Model predictive quadrotor indoor position control

Kostas Alexis;Christos Papachristos;George Nikolakopoulos;Anthony Tzes.
mediterranean conference on control and automation (2011)

103 Citations

Experiments on rigid body-based controllers with input preshaping for a two-link flexible manipulator

F. Khorrami;S. Jain;A. Tzes.
international conference on robotics and automation (1994)

100 Citations

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