What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Algorithm
Baris Fidan mainly focuses on Control theory, Algorithm, Wireless sensor network, Graph theory and Mathematical optimization.
Baris Fidan combines subjects such as Control engineering, Robot, Robot kinematics and Decentralised system with his study of Control theory.
His Algorithm research is multidisciplinary, relying on both Intelligent sensor, Position, Reference frame and Stability theory.
His biological study spans a wide range of topics, including Wireless, Key distribution in wireless sensor networks and Sensor array.
When carried out as part of a general Key distribution in wireless sensor networks research project, his work on Visual sensor network and Mobile wireless sensor network is frequently linked to work in Underpinning, therefore connecting diverse disciplines of study.
His Graph theory research integrates issues from Discrete mathematics, Graph, Orientation, Multi-agent system and Rigidity.
His most cited work include:
- Wireless sensor network localization techniques (1585 citations)
- Rigid graph control architectures for autonomous formations (417 citations)
- Adaptive control tutorial (409 citations)
What are the main themes of his work throughout his whole career to date?
Baris Fidan focuses on Control theory, Control engineering, Adaptive control, Robustness and Artificial intelligence.
The Control theory study which covers Motion control that intersects with Decentralised system, Position, Obstacle avoidance and Swarm behaviour.
Baris Fidan has included themes like Stability, Control, Bounded function, Actuator and Vehicle dynamics in his Control engineering study.
His Adaptive control study incorporates themes from Sliding mode control and Lyapunov function.
Baris Fidan interconnects Graph theory and Autonomous agent in the investigation of issues within Multi-agent system.
In his study, Sensor array is strongly linked to Wireless sensor network, which falls under the umbrella field of Graph theory.
He most often published in these fields:
- Control theory (49.35%)
- Control engineering (20.78%)
- Adaptive control (17.75%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (49.35%)
- Adaptive control (17.75%)
- Robustness (13.42%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Adaptive control, Robustness, Convergence and Control engineering.
His studies deal with areas such as Vibration and Least squares as well as Control theory.
His research in Adaptive control intersects with topics in Path, Position and Motion control.
His research integrates issues of Function, Robot and Beacon in his study of Convergence.
His Control engineering research includes elements of Control and Servo.
In his research on the topic of Point, Workspace is strongly related with Real-time computing.
Between 2016 and 2021, his most popular works were:
- Sliding mode disturbance observer-enhanced adaptive control for the air-breathing hypersonic flight vehicle (39 citations)
- Vibration Decoupled Modeling and Robust Control of Redundant Cable-Driven Parallel Robots (34 citations)
- Kinematically-Constrained Redundant Cable-Driven Parallel Robots: Modeling, Redundancy Analysis, and Stiffness Optimization (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Geometry
His main research concerns Control theory, Robustness, Actuator, Vibration and Adaptive control.
His specific area of interest is Control theory, where Baris Fidan studies Control theory.
The Robustness study combines topics in areas such as Laplacian matrix, Attitude control, Vehicle dynamics, Powertrain and Topology.
His Actuator research is multidisciplinary, incorporating perspectives in Hypersonic flight vehicle, Disturbance observer, Disturbance, Parallel manipulator and Control engineering.
His study in Vibration is interdisciplinary in nature, drawing from both Galerkin method and Nonlinear system.
His study looks at the intersection of Adaptive control and topics like Motion control with Convergence, Position, Beacon, Function and Stability.
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