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 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.
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.
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.
An Internet-based real-time control engineering laboratory
J.W. Overstreet;A. Tzes.
IEEE Control Systems Magazine (1999)
Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances
Kostas Alexis;George Nikolakopoulos;Anthony Tzes.
Control Engineering Practice (2011)
Model predictive quadrotor control: attitude, altitude and position experimental studies
Kostas Alexis;George Nikolakopoulos;Anthony Tzes.
Iet Control Theory and Applications (2012)
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)
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)
Coordination of Helicopter UAVs for Aerial Forest-Fire Surveillance
K. Alexis;G. Nikolakopoulos;A. Tzes;L. Dritsas.
Power Conservation through Energy Efficient Routing in Wireless Sensor Networks
Dionisis Kandris;Panagiotis Tsioumas;Anthony Tzes;George Nikolakopoulos.
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)
Model predictive quadrotor indoor position control
Kostas Alexis;Christos Papachristos;George Nikolakopoulos;Anthony Tzes.
mediterranean conference on control and automation (2011)
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)
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