What is he best known for?
The fields of study he is best known for:
- Control theory
- Electrical engineering
- Artificial intelligence
His scientific interests lie mostly in Spacecraft, Control theory, Control engineering, Spacecraft formation and NASA Deep Space Network.
His studies in Spacecraft integrate themes in fields like Propellant, Extended Kalman filter, Swarm behaviour, Propulsion and Attitude control.
His work on Adaptive control, Control theory, System dynamics and Quaternion as part of his general Control theory study is frequently connected to Complex network, thereby bridging the divide between different branches of science.
His Control engineering study integrates concerns from other disciplines, such as Star tracker, Control, Virtual structure, Kalman filter and Free space.
His Control study combines topics in areas such as Robotics and Interferometry.
The various areas that Fred Y. Hadaegh examines in his Spacecraft formation study include Feedback linearization and Linear matrix.
His most cited work include:
- A coordination architecture for spacecraft formation control (868 citations)
- A survey of spacecraft formation flying guidance and control. Part II: control (418 citations)
- Formation Flying Control of Multiple Spacecraft via Graphs, Matrix Inequalities, and Switching (298 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Spacecraft, Control theory, Control engineering, Aerospace engineering and Mathematical optimization.
His primary area of study in Spacecraft is in the field of NASA Deep Space Network.
He works mostly in the field of Control theory, limiting it down to concerns involving Control and, occasionally, Spacecraft design, Unmanned spacecraft and Interferometry.
His studies deal with areas such as Robotics, Frequency domain and Artificial intelligence as well as Control engineering.
He interconnects Constellation, Control system and Simulation in the investigation of issues within Aerospace engineering.
The concepts of his Mathematical optimization study are interwoven with issues in Sequential convex programming, Model predictive control, Motion planning and Position.
He most often published in these fields:
- Spacecraft (58.19%)
- Control theory (46.89%)
- Control engineering (16.38%)
What were the highlights of his more recent work (between 2016-2020)?
- Spacecraft (58.19%)
- Swarm behaviour (15.82%)
- Motion planning (7.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Spacecraft, Swarm behaviour, Motion planning, Real-time computing and Aerospace engineering.
His work on Robotic spacecraft as part of general Spacecraft study is frequently linked to Modular design, therefore connecting diverse disciplines of science.
His studies deal with areas such as Control theory, Motion control, Probabilistic logic, Satellite and Distributed algorithm as well as Swarm behaviour.
His work deals with themes such as Bridge and Control algorithm, which intersect with Control theory.
His research in Motion planning intersects with topics in Numerical integration, MATLAB and Trajectory optimization.
His Aerospace engineering research incorporates themes from Constellation and Exploration of Mars.
Between 2016 and 2020, his most popular works were:
- Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents (49 citations)
- Optimal Guidance and Control with Nonlinear Dynamics Using Sequential Convex Programming (7 citations)
- A Six Degree-of-Freedom Spacecraft Dynamics Simulator for Formation Control Research (7 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Control theory
Fred Y. Hadaegh mainly focuses on Swarm behaviour, Spacecraft, Robot, Modular design and Motion control.
His Swarm behaviour research is multidisciplinary, incorporating perspectives in Distributed computing, Satellite, Model predictive control and Attitude control.
The study incorporates disciplines such as Simulation, Actuator and Trajectory in addition to Spacecraft.
His Robot research integrates issues from Multi-agent system, Mathematical optimization, Nonlinear system, MATLAB and Trajectory optimization.
There are a combination of areas like Pendulum and Kinematics integrated together with his Modular design study.
The Motion control study combines topics in areas such as Algorithm, Bin, Probabilistic logic and Autonomous agent.
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