His primary areas of study are Control theory, Multi-agent system, Control engineering, Control theory and Graph. The Control theory study combines topics in areas such as Convergence, Upper and lower bounds, Model predictive control and Nonholonomic system. The concepts of his Multi-agent system study are interwoven with issues in Graph theory, Decentralised system, Holonomic, Distributed algorithm and Integrator.
His Control engineering research incorporates themes from Power control, Automatic frequency control, Collision avoidance and Electric power system. He interconnects Control, State and Automatic control in the investigation of issues within Control theory. His Graph research is multidisciplinary, relying on both Tree, Orientation, Rendezvous and Adaptive control.
Dimos V. Dimarogonas mainly focuses on Control theory, Multi-agent system, Control, Control theory and Mathematical optimization. His research integrates issues of Convergence, Bounded function and Model predictive control in his study of Control theory. His study in Multi-agent system is interdisciplinary in nature, drawing from both Event triggered, Graph, Distributed computing, State and Decentralised system.
His Control research is multidisciplinary, incorporating perspectives in Scheme and Control engineering. His Control theory research is multidisciplinary, incorporating elements of Automatic frequency control and Electric power system. His studies deal with areas such as Control system, Set and Group as well as Mathematical optimization.
Dimos V. Dimarogonas mainly investigates Control theory, Robot, Control, Control theory and Mathematical optimization. His Control theory study combines topics from a wide range of disciplines, such as Model predictive control and Configuration space. His Robot research includes elements of Distributed computing and Collision avoidance.
The study incorporates disciplines such as Motion, Group, Task, Multi-agent system and Real-time computing in addition to Control. His Multi-agent system research also works with subjects such as
Dimos V. Dimarogonas focuses on Control theory, Trajectory, Mathematical optimization, Artificial intelligence and Control theory. His Control theory study combines topics from a wide range of disciplines, such as Workspace and Configuration space. His Trajectory study combines topics in areas such as Stability, Quadratic equation, Graph and Control-Lyapunov function.
The study incorporates disciplines such as Control system, Control synthesis, Affine transformation, Exponential stability and Lyapunov function in addition to Mathematical optimization. Many of his research projects under Control theory are closely connected to Meaning with Meaning, tying the diverse disciplines of science together. His work is dedicated to discovering how Robot, Fragment are connected with Multi-agent system and other disciplines.
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Distributed Event-Triggered Control for Multi-Agent Systems
D. V. Dimarogonas;E. Frazzoli;K. H. Johansson.
IEEE Transactions on Automatic Control (2012)
Event-based broadcasting for multi-agent average consensus
Georg S. Seyboth;Dimos V. Dimarogonas;Karl H. Johansson.
On the Rendezvous Problem for Multiple Nonholonomic Agents
D.V. Dimarogonas;K.J. Kyriakopoulos.
IEEE Transactions on Automatic Control (2007)
Short survey: Dual arm manipulation-A survey
Christian Smith;Yiannis Karayiannidis;Lazaros Nalpantidis;Xavi Gratal.
Robotics and Autonomous Systems (2012)
Leader–follower cooperative attitude control of multiple rigid bodies
Dimos V. Dimarogonas;Panagiotis Tsiotras;Kostas J. Kyriakopoulos.
Systems & Control Letters (2009)
A feedback stabilization and collision avoidance scheme for multiple independent non-point agents
Dimos V. Dimarogonas;Savvas G. Loizou;Kostas J. Kyriakopoulos;Michael M. Zavlanos.
Event-triggered control for discrete-time systems
Alina Eqtami;Dimos V. Dimarogonas;Kostas J. Kyriakopoulos.
advances in computing and communications (2010)
Global consensus for discrete-time multi-agent systems with input saturation constraints
Tao Yang;Ziyang Meng;Dimos V. Dimarogonas;Karl H. Johansson.
Brief paper: Stability analysis for multi-agent systems using the incidence matrix: Quantized communication and formation control
Dimos V. Dimarogonas;Karl H. Johansson.
Event-triggered control for multi-agent systems
Dimos V. Dimarogonas;Karl H. Johansson.
conference on decision and control (2009)
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