What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Control engineering
J.K. Hedrick spends much of his time researching Control theory, Control engineering, Nonlinear system, Platoon and Automatic control.
His Control theory study often links to related topics such as Sprung mass.
His Control engineering research incorporates themes from Variety, Control, Remotely operated underwater vehicle and Vehicle dynamics.
His studies in Nonlinear system integrate themes in fields like Low-pass filter and Tracking.
In his work, Headway, Cruise control and Intelligent transportation system is strongly intertwined with Automation, which is a subfield of Automatic control.
His Adaptive control research includes themes of Class and Topology.
His most cited work include:
- Dynamic surface control for a class of nonlinear systems (1376 citations)
- String stability of interconnected systems (907 citations)
- Automated vehicle control developments in the PATH program (608 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Control engineering, Control theory, Nonlinear system and Automotive engineering are his primary areas of study.
His Control theory study is mostly concerned with Sliding mode control, Adaptive control, Control system, Robustness and Observer.
He interconnects Control, Platoon, Vehicle dynamics and Automatic control in the investigation of issues within Control engineering.
His research in Control theory intersects with topics in Drag, Aerodynamic drag, Tracking and Trajectory.
His work is dedicated to discovering how Nonlinear system, Linear system are connected with Linear matrix inequality and other disciplines.
His study focuses on the intersection of Automotive engineering and fields such as Automotive industry with connections in the field of Spark.
He most often published in these fields:
- Control theory (60.17%)
- Control engineering (44.07%)
- Control theory (23.73%)
What were the highlights of his more recent work (between 2002-2017)?
- Control theory (60.17%)
- Control engineering (44.07%)
- Control theory (23.73%)
In recent papers he was focusing on the following fields of study:
J.K. Hedrick mostly deals with Control theory, Control engineering, Control theory, Remotely operated underwater vehicle and Control.
His study in the field of Vehicle dynamics, Control system, Robustness and Nonlinear system also crosses realms of String.
His work carried out in the field of Nonlinear system brings together such families of science as Observer and Linear matrix inequality.
His study in the field of Nonlinear control is also linked to topics like Fixed wing.
His Control theory research is multidisciplinary, relying on both Retarder, Automotive engineering, Tracking, Automotive industry and Trajectory.
His Control study integrates concerns from other disciplines, such as Distributed computing and Automotive engine.
Between 2002 and 2017, his most popular works were:
- Border patrol and surveillance missions using multiple unmanned air vehicles (235 citations)
- An overview of emerging results in cooperative UAV control (205 citations)
- Linear Tracking for a Fixed-Wing UAV Using Nonlinear Model Predictive Control (130 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Control engineering
His primary areas of investigation include Control theory, Remotely operated underwater vehicle, Control engineering, Motion planning and Constant.
J.K. Hedrick regularly ties together related areas like Topology in his Control theory studies.
His Remotely operated underwater vehicle study incorporates themes from Bayes estimator and Probabilistic logic.
His research integrates issues of Distributed computing, Hierarchy, Motion control, Control and Hybrid system in his study of Control engineering.
The various areas that J.K. Hedrick examines in his Control theory study include Model predictive control, Trajectory, Vehicle dynamics and Automatic control.
His study with Nonlinear control involves better knowledge in Nonlinear system.
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