What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Algorithm
- Programming language
The scientist’s investigation covers issues in Chaotic, Control theory, Electronic engineering, Attractor and Nonlinear system.
His Chaotic study combines topics in areas such as Field-programmable gate array, Current conveyor, Fixed-point arithmetic and Communications system.
His Control theory study incorporates themes from Multi-objective optimization and Topology.
His work carried out in the field of Electronic engineering brings together such families of science as Analogue electronics, Symbolic data analysis, Operational amplifier and Integrated circuit.
Esteban Tlelo-Cuautle interconnects Frequency response, Equilibrium point, Realization and Function series in the investigation of issues within Attractor.
In Realization, Esteban Tlelo-Cuautle works on issues like Synchronization of chaos, which are connected to Observer.
His most cited work include:
- FPGA realization of multi-scroll chaotic oscillators (134 citations)
- Pathological Element-Based Active Device Models and Their Application to Symbolic Analysis (99 citations)
- Integrated circuit generating 3- and 5-scroll attractors (80 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Electronic engineering, Chaotic, Control theory, CMOS and Integrated circuit.
Esteban Tlelo-Cuautle combines subjects such as Analogue electronics, Electronic circuit, Operational amplifier, Nullor and Transistor with his study of Electronic engineering.
Esteban Tlelo-Cuautle has researched Chaotic in several fields, including Attractor, Topology, Synchronization and Nonlinear system.
Observer is closely connected to Synchronization of chaos in his research, which is encompassed under the umbrella topic of Control theory.
His work deals with themes such as Integrated circuit design, Spice, Current conveyor and Voltage, which intersect with CMOS.
Esteban Tlelo-Cuautle usually deals with Integrated circuit and limits it to topics linked to Algorithm and Artificial neural network.
He most often published in these fields:
- Electronic engineering (37.78%)
- Chaotic (35.56%)
- Control theory (22.59%)
What were the highlights of his more recent work (between 2018-2021)?
- Chaotic (35.56%)
- Electronic engineering (37.78%)
- Topology (15.93%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Chaotic, Electronic engineering, Topology, Lyapunov exponent and CMOS.
His Chaotic research is multidisciplinary, incorporating elements of Equilibrium point, Attractor, Synchronization, Applied mathematics and Field-programmable gate array.
His Electronic engineering research includes elements of Electronic circuit and MOSFET.
His Topology research incorporates themes from Field-programmable analog array, Topology, Line and Chaotic oscillators.
His Lyapunov exponent study also includes fields such as
- Fractional calculus most often made with reference to Numerical analysis,
- Entropy that intertwine with fields like Bifurcation theory and Warning system.
The study incorporates disciplines such as Voltage-controlled oscillator, Optimal design, Analogue electronics, Transistor and Amplifier in addition to CMOS.
Between 2018 and 2021, his most popular works were:
- FPGA-based implementation of different families of fractional-order chaotic oscillators applying Grünwald–Letnikov method (34 citations)
- Implementing a chaotic cryptosystem in a 64-bit embedded system by using multiple-precision arithmetic (24 citations)
- Randomness improvement of chaotic maps for image encryption in a wireless communication scheme using PIC-microcontroller via Zigbee channels (23 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Algorithm
- Programming language
His primary scientific interests are in Chaotic, Equilibrium point, Lyapunov exponent, Topology and Encryption.
His Chaotic research is multidisciplinary, relying on both Electronic circuit, Electronic engineering, Attractor and Computer engineering.
His research in Attractor intersects with topics in Dynamical system, Fixed-point arithmetic, Electronics, Nonlinear system and Circuit design.
His Equilibrium point research incorporates elements of Dimension, Particle swarm optimization, Differential evolution, Applied mathematics and Active filter.
His Lyapunov exponent research integrates issues from Synchronizing, Digital electronics, Data transmission, Multistability and Bifurcation diagram.
In his study, Network topology is inextricably linked to Synchronization, which falls within the broad field of Topology.
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