What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Programming language
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.
His most cited work include:
- Distributed Event-Triggered Control for Multi-Agent Systems (1163 citations)
- Event-based broadcasting for multi-agent average consensus (758 citations)
- On the Rendezvous Problem for Multiple Nonholonomic Agents (405 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (48.11%)
- Multi-agent system (26.44%)
- Control (18.29%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (48.11%)
- Robot (11.33%)
- Control (18.29%)
In recent papers he was focusing on the following fields of study:
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
- Decentralised system that intertwine with fields like Fragment,
- Temporal logic which connect with Algorithm.
His studies in Control theory integrate themes in fields like Obstacle avoidance and Optimal control.
Between 2019 and 2021, his most popular works were:
- Robust decentralised navigation of multi-agent systems with collision avoidance and connectivity maintenance using model predictive controllers (13 citations)
- Robust Cooperative Manipulation Without Force/Torque Measurements: Control Design and Experiments (13 citations)
- Learning Control Barrier Functions from Expert Demonstrations (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Control theory
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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