What is he best known for?
The fields of study he is best known for:
- Operating system
- Control theory
- Programming language
The scientist’s investigation covers issues in Control system, Scheduling, Real-time Control System, Real-time computing and Control theory.
The various areas that he examines in his Control system study include Task, Control theory, MATLAB and Optimal control.
In general Optimal control study, his work on Linear-quadratic-Gaussian control often relates to the realm of Aperiodic graph, thereby connecting several areas of interest.
His research in Scheduling is mostly concerned with Dynamic priority scheduling.
As a member of one scientific family, Anton Cervin mostly works in the field of Real-time Control System, focusing on Control engineering and, on occasion, Real-time Control System Software, Instrumentation and control engineering, Automatic control and Toolbox.
His research in Real-time computing intersects with topics in Actuator, Fixed-priority pre-emptive scheduling and Fair-share scheduling.
His most cited work include:
- Real Time Scheduling Theory: A Historical Perspective (515 citations)
- How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime (492 citations)
- Feedback–Feedforward Scheduling of Control Tasks (314 citations)
What are the main themes of his work throughout his whole career to date?
Anton Cervin mainly investigates Control system, Scheduling, Control theory, Control engineering and Distributed computing.
His study in the field of Real-time Control System and Gain scheduling is also linked to topics like Jitter.
When carried out as part of a general Scheduling research project, his work on Dynamic priority scheduling is frequently linked to work in Kernel, therefore connecting diverse disciplines of study.
His work in the fields of Control theory, such as Linear-quadratic-Gaussian control, Control theory and Linear system, intersects with other areas such as Event and Integrator.
His Control engineering research is multidisciplinary, incorporating elements of Matlab toolbox, Linear control systems, Computation and Automatic control.
His Distributed computing study combines topics from a wide range of disciplines, such as Simulated annealing, Metaheuristic, Task and Implementation.
He most often published in these fields:
- Control system (44.35%)
- Scheduling (34.68%)
- Control theory (28.23%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (28.23%)
- Control theory (17.74%)
- Linear-quadratic-Gaussian control (11.29%)
In recent papers he was focusing on the following fields of study:
Anton Cervin mainly focuses on Control theory, Control theory, Linear-quadratic-Gaussian control, Mathematical optimization and Control engineering.
His Nonlinear system study in the realm of Control theory connects with subjects such as Sampling.
The Control theory study combines topics in areas such as Real-time computing, Response time and Robustness.
The concepts of his Mathematical optimization study are interwoven with issues in Earliest deadline first scheduling, Rate-monotonic scheduling, Dynamic priority scheduling, Round-robin scheduling and Kalman filter.
His biological study spans a wide range of topics, including Control system and Automatic control.
As part of one scientific family, Anton Cervin deals mainly with the area of Control system, narrowing it down to issues related to the Scheduling, and often Distributed computing.
Between 2015 and 2021, his most popular works were:
- TrueTime: Simulation Tool for Performance Analysis of Real-Time Embedded Systems (13 citations)
- When is PID a good choice (6 citations)
- Performance Optimization of Control Applications on Fog Computing Platforms Using Scheduling and Isolation (5 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Control theory
- Programming language
His scientific interests lie mostly in Scheduling, Control theory, Control system, Jitter and Control engineering.
He has included themes like Simulated annealing, Distributed computing and Metaheuristic in his Scheduling study.
Anton Cervin interconnects Software and Dependability in the investigation of issues within Simulated annealing.
His studies deal with areas such as Real-time computing, Response time and Robustness as well as Control theory.
Anton Cervin does research in Control system, focusing on Gain scheduling specifically.
His Control engineering research is multidisciplinary, relying on both Real-time Control System, Control reconfiguration and Quality control.
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