What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Nonlinear system
His primary areas of study are Control theory, Chaotic, Adaptive control, Lyapunov exponent and Synchronization of chaos.
In general Control theory study, his work on Backstepping often relates to the realm of Synchronization and Dynamo, thereby connecting several areas of interest.
Sundarapandian Vaidyanathan interconnects Attractor and Topology in the investigation of issues within Chaotic.
As a member of one scientific family, Sundarapandian Vaidyanathan mostly works in the field of Adaptive control, focusing on Quadratic equation and, on occasion, Applied mathematics.
The Lyapunov exponent study combines topics in areas such as Lyapunov stability and Synchronization.
Sundarapandian Vaidyanathan focuses mostly in the field of Lyapunov stability, narrowing it down to topics relating to Sliding mode control and, in certain cases, Phase synchronization.
His most cited work include:
- Chaos Modeling and Control Systems Design (180 citations)
- Computational Intelligence Applications in Modeling and Control (166 citations)
- Analysis, synchronization and circuit design of a novel butterfly attractor (147 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Chaotic, Lyapunov exponent, Lyapunov stability and Adaptive control.
His Control theory research includes themes of Synchronization of chaos and Synchronization.
Sundarapandian Vaidyanathan usually deals with Synchronization of chaos and limits it to topics linked to Chaos theory and Chemical reactor.
His Chaotic research is multidisciplinary, relying on both Equilibrium point, Phase portrait, Attractor, Topology and Backstepping.
His studies deal with areas such as Nonlinear control, Lyapunov function, Applied mathematics and Bifurcation diagram as well as Lyapunov exponent.
Sundarapandian Vaidyanathan works mostly in the field of Lyapunov stability, limiting it down to concerns involving Sliding mode control and, occasionally, Robust control.
He most often published in these fields:
- Control theory (69.82%)
- Chaotic (50.89%)
- Lyapunov exponent (39.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (69.82%)
- Chaotic (50.89%)
- Attractor (22.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Chaotic, Attractor, Topology and Nonlinear system.
His Control theory study is mostly concerned with Backstepping, Control theory, Lyapunov stability, Sliding mode control and Adaptive control.
When carried out as part of a general Chaotic research project, his work on Lyapunov exponent is frequently linked to work in Synchronization and Jerk, therefore connecting diverse disciplines of study.
His research integrates issues of Dynamical system, Quadratic equation, Bifurcation analysis and Multistability in his study of Attractor.
His Topology study combines topics from a wide range of disciplines, such as Rest, Chaotic dynamical systems and Bifurcation.
The various areas that he examines in his Nonlinear system study include Dynamical systems theory, Transformation, MATLAB and Fuzzy control system.
Between 2018 and 2021, his most popular works were:
- A Novel Chaotic System With Boomerang-Shaped Equilibrium, Its Circuit Implementation and Application to Sound Encryption (26 citations)
- A Novel Chaotic System with Two Circles of Equilibrium Points: Multistability, Electronic Circuit and FPGA Realization (20 citations)
- A New Double-Wing Chaotic System With Coexisting Attractors and Line Equilibrium: Bifurcation Analysis and Electronic Circuit Simulation (19 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Nonlinear system
Chaotic, Control theory, Attractor, Topology and Circuit design are his primary areas of study.
His Chaotic study combines topics in areas such as Phase portrait, Computer simulation and Nonlinear system.
His work on Control theory deals in particular with Control theory, Sliding mode control, Adaptive control, Lyapunov stability and Tracking error.
His Attractor research integrates issues from Dynamical system, Bifurcation analysis and Lyapunov exponent.
His Topology study integrates concerns from other disciplines, such as Equilibrium point and Multistability.
His research in Circuit design intersects with topics in Passivity, Lyapunov function and Integral sliding mode.
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