What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Statistics
The scientist’s investigation covers issues in Control theory, Stability, Linear system, Exponential stability and Adaptive control.
He has included themes like Bounded function and Differential equation in his Control theory study.
In his study, which falls under the umbrella issue of Stability, Residence time and Lemma is strongly linked to Applied mathematics.
The various areas that M. De la Sen examines in his Linear system study include Point and Hybrid system.
His Exponential stability research incorporates elements of Lyapunov function, Stability conditions, Lyapunov stability and Constant.
His Adaptive control research is multidisciplinary, incorporating elements of Control system, Robust control, Tracking error, Uniform boundedness and Dead zone.
His most cited work include:
- About Robust Stability of Caputo Linear Fractional Dynamic Systems with Time Delays through Fixed Point Theory (76 citations)
- On a Generalized Time-Varying SEIR Epidemic Model with Mixed Point and Distributed Time-Varying Delays and Combined Regular and Impulsive Vaccination Controls (70 citations)
- Sliding-Mode Control of Wave Power Generation Plants (69 citations)
What are the main themes of his work throughout his whole career to date?
M. De la Sen mainly investigates Control theory, Adaptive control, Linear system, Stability and Control theory.
The concepts of his Control theory study are interwoven with issues in Control engineering, Sampling and Bounded function.
His study in Adaptive control is interdisciplinary in nature, drawing from both Control system, Robust control, Estimator, Adaptation and Adaptive system.
His Linear system research also works with subjects such as
- Controllability and related Function,
- Discrete system most often made with reference to Hybrid system.
His Stability study integrates concerns from other disciplines, such as Mathematical analysis, Constant, Lyapunov function, Nonlinear system and Applied mathematics.
His Control theory research incorporates themes from Stability, Supervisor, Interval and Reference model.
He most often published in these fields:
- Control theory (61.41%)
- Adaptive control (25.97%)
- Linear system (20.41%)
What were the highlights of his more recent work (between 2012-2021)?
- Control theory (61.41%)
- Epidemic model (7.24%)
- Pure mathematics (5.19%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Epidemic model, Pure mathematics, Discrete mathematics and Fixed point.
His studies deal with areas such as Pattern search and Identification as well as Control theory.
M. De la Sen has researched Epidemic model in several fields, including Equilibrium point, Exponential stability and Vaccination.
He interconnects Lyapunov equation, Stability, Mathematical optimization, Applied mathematics and Constant in the investigation of issues within Equilibrium point.
His Pure mathematics study combines topics from a wide range of disciplines, such as Hadamard transform, Mathematical analysis, Inequality and Type.
His Fixed point research integrates issues from Probabilistic logic and Metric space.
Between 2012 and 2021, his most popular works were:
- On φ-convex functions (44 citations)
- On a New Epidemic Model with Asymptomatic and Dead-Infective Subpopulations with Feedback Controls Useful for Ebola Disease (33 citations)
- Some generalizations of Hermite-Hadamard type inequalities. (32 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Statistics
M. De la Sen spends much of his time researching Epidemic model, Equilibrium point, Control theory, Pure mathematics and Type.
His studies in Epidemic model integrate themes in fields like Discretization, Exponential stability and Total population.
His Equilibrium point research includes themes of Lyapunov equation, Mathematical optimization, Stability and Vaccination.
His Control theory research focuses on Matrix and how it relates to Passivity.
His research in Pure mathematics intersects with topics in Discrete mathematics and Iterated function.
His work carried out in the field of Type brings together such families of science as Inequality and Hermite polynomials.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
