What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
Andrey V. Savkin spends much of his time researching Control theory, Control engineering, Robust control, Linear system and Control theory.
His research on Control theory often connects related topics like Riccati equation.
His Control engineering research is multidisciplinary, incorporating elements of Mobile robot navigation and Robot, Artificial intelligence, Mobile robot.
His Robust control research includes elements of Dynamical systems theory, Dynamical system, Controllability, Mathematical optimization and Kalman filter.
The concepts of his Linear system study are interwoven with issues in Transmission, Communication channel, Information theory, Estimator and Asynchronous communication.
In the subject of general Control theory, his work in Open-loop controller is often linked to Pseudorandom binary sequence, thereby combining diverse domains of study.
His most cited work include:
- Robust Kalman Filtering for Signals and Systems with Large Uncertainties (313 citations)
- Robust Control Design Using H-∞ Methods (290 citations)
- Node localization using mobile robots in delay-tolerant sensor networks (264 citations)
What are the main themes of his work throughout his whole career to date?
Andrey V. Savkin focuses on Control theory, Control theory, Robot, Mobile robot and Control engineering.
His study in the field of Linear system, Nonlinear system, Optimal control and Control system also crosses realms of Quadratic equation.
His studies in Robust control and Sliding mode control are all subfields of Control theory research.
His research on Robot concerns the broader Artificial intelligence.
His Mobile robot study combines topics from a wide range of disciplines, such as Convergence, Wireless sensor network, Motion planning and Algorithm.
His biological study spans a wide range of topics, including Key distribution in wireless sensor networks and Distributed computing.
He most often published in these fields:
- Control theory (46.96%)
- Control theory (17.09%)
- Robot (16.77%)
What were the highlights of his more recent work (between 2015-2021)?
- Robot (16.77%)
- Control theory (46.96%)
- Real-time computing (8.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Robot, Control theory, Real-time computing, Mobile robot and Wireless sensor network.
His Robot research is multidisciplinary, incorporating perspectives in Algorithm and Computer vision.
His study looks at the relationship between Control theory and fields such as Bounded function, as well as how they intersect with chemical problems.
As a member of one scientific family, Andrey V. Savkin mostly works in the field of Mobile robot, focusing on Convergence and, on occasion, Distributed algorithm.
His research in Wireless sensor network intersects with topics in Motion planning, Network packet, Key distribution in wireless sensor networks, Robot kinematics and Topology.
His work carried out in the field of Control theory brings together such families of science as Control system, Actuator and Wireless.
Between 2015 and 2021, his most popular works were:
- Multi-Agent Sliding Mode Control for State of Charge Balancing Between Battery Energy Storage Systems Distributed in a DC Microgrid (62 citations)
- Deployment of Unmanned Aerial Vehicle Base Stations for Optimal Quality of Coverage (56 citations)
- Minimizing the energy cost for microgrids integrated with renewable energy resources and conventional generation using controlled battery energy storage (47 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
Andrey V. Savkin mainly investigates Robot, Real-time computing, Mobile robot, Wireless sensor network and Control theory.
His Robot research is multidisciplinary, relying on both Obstacle, SIMPLE and Collision avoidance.
He interconnects Distributed algorithm, Optimization problem and Wireless in the investigation of issues within Real-time computing.
His Mobile robot research includes themes of Range, Convergence, Angular velocity and Algorithm.
His Wireless sensor network study incorporates themes from Motion planning, Network packet, Human–computer interaction, Key distribution in wireless sensor networks and Robot kinematics.
His research links Bounded function with Control theory.
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