What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Programming language
Control theory, Control engineering, Adaptive control, Biochemistry and Artificial neural network are his primary areas of study.
In the subject of general Control theory, his work in Exponential stability, Control theory and Tracking error is often linked to Linear independence, thereby combining diverse domains of study.
The various areas that he examines in his Control engineering study include Control system, Control, Dynamic pressure and Robustness.
In his study, Eric N. Johnson carries out multidisciplinary Adaptive control and Autonomous system research.
His research integrates issues of Actuator, Bandwidth and Trajectory in his study of Artificial neural network.
His biological study spans a wide range of topics, including ATP hydrolysis, Transporter, Computational biology and Plasma protein binding.
His most cited work include:
- Gene expression during the life cycle of Drosophila melanogaster. (790 citations)
- ABC transporters: the power to change (752 citations)
- Adaptive Trajectory Control for Autonomous Helicopters (322 citations)
What are the main themes of his work throughout his whole career to date?
Eric N. Johnson mainly focuses on Control theory, Adaptive control, Artificial intelligence, Control engineering and Computer vision.
His study connects Artificial neural network and Control theory.
His work carried out in the field of Adaptive control brings together such families of science as Dynamical system, Convergence, Exponential stability and Reference model.
His Control engineering study integrates concerns from other disciplines, such as Control, Actuator, Nonlinear system, Governor and Trajectory.
His Computer vision research includes elements of Kalman filter and Extended Kalman filter.
Eric N. Johnson has researched Inertial measurement unit in several fields, including Global Positioning System and Sonar.
He most often published in these fields:
- Control theory (33.62%)
- Adaptive control (20.40%)
- Artificial intelligence (20.11%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (33.62%)
- Artificial intelligence (20.11%)
- Computer vision (16.09%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Artificial intelligence, Computer vision, Algorithm and Control engineering.
Many of his research projects under Control theory are closely connected to Relay with Relay, tying the diverse disciplines of science together.
When carried out as part of a general Artificial intelligence research project, his work on Outlier, Robustness and Vision sensor is frequently linked to work in Network topology, therefore connecting diverse disciplines of study.
His Computer vision research is multidisciplinary, incorporating perspectives in Inertial navigation system and Extended Kalman filter.
His study looks at the intersection of Algorithm and topics like Noise measurement with Gaussian noise and Colors of noise.
His work deals with themes such as Control, Trade study and System identification, which intersect with Control engineering.
Between 2016 and 2021, his most popular works were:
- Autonomous suspended load operations via trajectory optimization and variational integrators (12 citations)
- Small unmanned aircraft system (sUAS) trajectory modeling in support of UAS traffic management (UTM) (10 citations)
- State estimation using Gaussian process regression for colored noise systems (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Computer vision
Eric N. Johnson focuses on Control theory, Artificial intelligence, Computer vision, Kalman filter and Control engineering.
His study on Adaptive control and Trajectory optimization is often connected to Simple and Relay as part of broader study in Control theory.
His work on Vision sensor and Vision based is typically connected to Fusion and Covariance as part of general Artificial intelligence study, connecting several disciplines of science.
As a part of the same scientific family, Eric N. Johnson mostly works in the field of Computer vision, focusing on Adaptive filter and, on occasion, Extended Kalman filter.
His studies in Kalman filter integrate themes in fields like Estimation theory, Truncation and Interpolation.
His Control engineering study which covers Daisy chain that intersects with Control.
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