What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Control theory
- Electrical engineering
His main research concerns Control theory, Chaotic, Lyapunov exponent, Attractor and Lyapunov stability.
His work on Nonlinear system, Adaptive control, Torque and Chaotic systems is typically connected to Synchronization as part of general Control theory study, connecting several disciplines of science.
His Torque research incorporates themes from Stator, Magnet and Rotor.
In his research on the topic of Chaotic, Field-programmable gate array and Sliding mode control is strongly related with Bifurcation.
Karthikeyan Rajagopal interconnects Limit cycle, Nonlinear oscillators and Statistical physics in the investigation of issues within Attractor.
The Lyapunov stability study combines topics in areas such as Nonlinear control and Lyapunov function.
His most cited work include:
- PM Synchronous Motor Speed Control Using Hybrid Fuzzy-PI With Novel Switching Functions (118 citations)
- FPGA implementation of novel fractional-order chaotic systems with two equilibriums and no equilibrium and its adaptive sliding mode synchronization (98 citations)
- Analysis, Adaptive Control and Synchronization of a Seven - Term Novel 3 - D Chaotic System with Three Quadratic Nonlinearities and its Digital Implementation in LabVIEW (96 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Chaotic, Attractor, Bifurcation and Lyapunov exponent.
His Control theory research is multidisciplinary, relying on both Direct torque control and Rotor.
His Chaotic research focuses on Statistical physics and how it relates to Biological neuron model.
His studies deal with areas such as Equilibrium point, Electronic circuit, Stability and Multistability as well as Attractor.
He has researched Lyapunov exponent in several fields, including Sliding mode control, Applied mathematics, Phase portrait and Bifurcation diagram.
His study on Torque also encompasses disciplines like
- Magnet that connect with fields like Finite element method, DC motor and Computer Aided Design,
- Stator that connect with fields like Switched reluctance motor,
- Electric motor that intertwine with fields like Synchronous motor.
He most often published in these fields:
- Control theory (37.68%)
- Chaotic (34.42%)
- Attractor (27.90%)
What were the highlights of his more recent work (between 2018-2021)?
- Chaotic (34.42%)
- Attractor (27.90%)
- Bifurcation (17.75%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Chaotic, Attractor, Bifurcation, Topology and Multistability.
He studies Chaotic, namely Lyapunov exponent.
His Attractor research incorporates elements of Equilibrium point, Dynamical systems theory, Chaotic systems and Period-doubling bifurcation.
His Bifurcation research is multidisciplinary, incorporating perspectives in Circulant matrix and Classical mechanics.
His study with Multistability involves better knowledge in Control theory.
A large part of his Control theory studies is devoted to Realization.
Between 2018 and 2021, his most popular works were:
- Dynamical analysis of a new multistable chaotic system with hidden attractor: Antimonotonicity, coexisting multiple attractors, and offset boosting (46 citations)
- A fractional-order model for the novel coronavirus (COVID-19) outbreak. (25 citations)
- Hyperjerk multiscroll oscillators with megastability: Analysis, FPGA implementation and a novel ANN-ring-based True Random Number Generator (23 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electrical engineering
- Control theory
His primary areas of study are Chaotic, Attractor, Multistability, Statistical physics and Bifurcation.
The various areas that Karthikeyan Rajagopal examines in his Chaotic study include Memristor, VHDL, Nonlinear system, Term and Topology.
His research in Attractor intersects with topics in Period-doubling bifurcation, Electromagnetic induction, Dissipative system, Magnetic flux and Chaotic systems.
His work investigates the relationship between Multistability and topics such as Lyapunov exponent that intersect with problems in Equilibrium point and Bifurcation diagram.
His Bifurcation research includes themes of Excitation, Electric power system, Biological neuron model and Classical mechanics.
His research investigates the connection with Artificial neural network and areas like Field-programmable gate array which intersect with concerns in Control theory.
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