What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Quantum mechanics
- Electrical engineering
His primary areas of study are Control theory, Chaotic, Artificial neural network, Cellular neural network and Control engineering.
His Control theory study frequently involves adjacent topics like Synchronization.
His Chaotic study integrates concerns from other disciplines, such as Electronic circuit, Dynamical systems theory, Synchronization of chaos, Electronic engineering and Topology.
His Artificial neural network research focuses on Hypercomplex number and how it relates to Discrete mathematics.
His Cellular neural network study incorporates themes from Electronic design automation, Chip, Complex dynamics, Real-time Control System and Circuit design.
His Control engineering research is multidisciplinary, incorporating perspectives in Robot, Mobile robot, Very-large-scale integration and Refinery.
His most cited work include:
- Fractional Order Systems: Modeling and Control Applications (453 citations)
- Chaotic sequences to improve the performance of evolutionary algorithms (400 citations)
- Soft Sensors for Monitoring and Control of Industrial Processes (305 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Artificial intelligence, Chaotic, Nonlinear system and Artificial neural network.
As part of his studies on Control theory, Luigi Fortuna often connects relevant areas like Fuzzy logic.
His research in Artificial intelligence intersects with topics in Machine learning and Computer vision.
His Chaotic course of study focuses on Electronic circuit and Electronic engineering.
His research combines Control engineering and Nonlinear system.
His research on Artificial neural network focuses in particular on Perceptron.
He most often published in these fields:
- Control theory (22.69%)
- Artificial intelligence (19.30%)
- Chaotic (16.56%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (22.69%)
- Nonlinear system (16.95%)
- Synchronization (5.08%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Nonlinear system, Synchronization, Topology and Tokamak.
His Control theory study combines topics from a wide range of disciplines, such as Vibration, Synchronization of chaos, Chaotic and Representation.
The Chaotic study combines topics in areas such as Function, Realization and Synchronization.
His work deals with themes such as Dynamics, Control engineering, Frequency response, Statistical physics and Electronic engineering, which intersect with Nonlinear system.
Luigi Fortuna has included themes like Artificial neural network and Control in his Control engineering study.
His biological study deals with issues like Wind speed, which deal with fields such as Artificial intelligence.
Between 2014 and 2021, his most popular works were:
- Overview of the JET results in support to ITER (111 citations)
- Overview of the JET results (46 citations)
- Memristor-Based Adaptive Coupling for Consensus and Synchronization (44 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Electrical engineering
Control theory, Jet, Nuclear engineering, Nonlinear system and Tokamak are his primary areas of study.
The various areas that he examines in his Control theory study include Synchronization of chaos, Chaotic, Electronic circuit and Topology.
The study incorporates disciplines such as Synchronization networks, Synchronization, Two-dimensional space, Function and Polarity in addition to Chaotic.
Luigi Fortuna interconnects Neutron, Joint European Torus, Divertor and Thermal in the investigation of issues within Jet.
His Nuclear engineering research incorporates themes from Nuclear fusion and Limiter.
As a member of one scientific family, Luigi Fortuna mostly works in the field of Nonlinear system, focusing on Control engineering and, on occasion, Control, Scale and Electronic engineering.
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