What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Control theory
- Nonlinear system
Alexander L. Fradkov mostly deals with Control theory, Nonlinear system, Adaptive control, Nonlinear control and Control engineering.
His study of Control theory is a part of Control theory.
His Nonlinear system study integrates concerns from other disciplines, such as Energy control, Dynamical systems theory, Hamiltonian system and Channel capacity.
The study incorporates disciplines such as Complex system, Robust control, Attitude control and Feed forward in addition to Adaptive control.
His Nonlinear control study incorporates themes from Passivity, Linearization, Invariant, Spherical pendulum and Control of chaos.
He has included themes like DC-to-DC converter, Mechanical system, Parametric statistics, Benchmark and Reference model in his Control engineering study.
His most cited work include:
- Control of chaos: Methods and applications in engineering (298 citations)
- Nonlinear and Adaptive Control of Complex Systems (297 citations)
- Introduction to Control of Oscillations and Chaos (290 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Nonlinear system, Adaptive control, Control engineering and Control theory.
His Control theory research is multidisciplinary, relying on both Synchronization, Bounded function and Synchronization.
Alexander L. Fradkov combines subjects such as Heterogeneous network and Topology with his study of Synchronization.
His Nonlinear system research focuses on Chaotic and how it connects with Communication channel.
His Adaptive control study frequently draws parallels with other fields, such as Passivity.
His biological study spans a wide range of topics, including Control and Reference model.
He most often published in these fields:
- Control theory (76.71%)
- Nonlinear system (40.31%)
- Adaptive control (23.29%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (76.71%)
- Topology (10.76%)
- Nonlinear system (40.31%)
In recent papers he was focusing on the following fields of study:
Alexander L. Fradkov mainly investigates Control theory, Topology, Nonlinear system, Synchronization and Applied mathematics.
His study connects Mode and Control theory.
His Topology research is multidisciplinary, incorporating perspectives in Artificial neural network, Mechanical system, Fitzhugh nagumo and Graph.
His study in Nonlinear system is interdisciplinary in nature, drawing from both Differential, Discrete time and continuous time, Closed loop and Group.
His Differential study combines topics in areas such as Nonlinear control and Passivity.
As a part of the same scientific study, Alexander L. Fradkov usually deals with the Synchronization, concentrating on Heterogeneous network and frequently concerns with Linear matrix and Computer network.
Between 2018 and 2021, his most popular works were:
- Complex partial synchronization patterns in networks of delay-coupled neurons (11 citations)
- Finite‐time sliding mode stabilization using dirty differentiation and disturbance compensation (6 citations)
- Finite‐time sliding mode stabilization using dirty differentiation and disturbance compensation (6 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Control theory
- Artificial intelligence
Alexander L. Fradkov mainly focuses on Control theory, Topology, Nonlinear system, Adaptive coding and Electronic engineering.
His studies link Mode with Control theory.
His work carried out in the field of Topology brings together such families of science as Artificial neural network, Partial synchronization and Line segment.
His Artificial neural network research includes themes of Synchronization, Fitzhugh nagumo, Heterogeneous network and Linear matrix.
In the field of Nonlinear system, his study on Lyapunov function overlaps with subjects such as Sine.
His Lyapunov function research incorporates elements of Class, Control theory, Frequency domain and Hybrid system.
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