D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 30 Citations 5,646 155 World Ranking 6606 National Ranking 233

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Artificial intelligence

Marco Ariola mainly focuses on Control theory, Linear system, Tokamak, Control theory and Plasma. He interconnects Time complexity and Differential in the investigation of issues within Control theory. The Linear system study combines topics in areas such as Finite time, Finite time control, State, Mathematical optimization and Linear matrix.

The study incorporates disciplines such as Jet and Convection–diffusion equation in addition to Tokamak. His Plasma parameter study in the realm of Plasma interacts with subjects such as Offset. His Stability research is multidisciplinary, incorporating perspectives in Control and State-transition matrix.

His most cited work include:

  • Technical Communique: Finite-time control of linear systems subject to parametric uncertainties and disturbances (673 citations)
  • Technical communique: Finite-time stabilization via dynamic output feedback (368 citations)
  • Finite-time control of discrete-time linear systems (349 citations)

What are the main themes of his work throughout his whole career to date?

Marco Ariola focuses on Control theory, Tokamak, Plasma, Control theory and Linear system. His Control theory research includes themes of Control engineering and Time complexity. His Tokamak study combines topics in areas such as Nuclear engineering, Jet, Fusion power and Control system.

His study on Plasma diagnostics is often connected to Shape control as part of broader study in Plasma. Marco Ariola has researched Control theory in several fields, including Vertical direction, Singular value decomposition and Multivariable calculus. His Linear system study combines topics from a wide range of disciplines, such as Finite time, Differential, State-transition matrix, State and Mathematical optimization.

He most often published in these fields:

  • Control theory (46.67%)
  • Tokamak (41.43%)
  • Plasma (33.33%)

What were the highlights of his more recent work (between 2015-2021)?

  • Tokamak (41.43%)
  • Plasma (33.33%)
  • Materials science (8.10%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Tokamak, Plasma, Materials science, Control theory and Nuclear engineering. The Tokamak study combines topics in areas such as Computational physics, Current and Identification. His study in the field of Plasma current, Fusion power and Vertical stabilization is also linked to topics like Shape control.

As part of his studies on Control theory, he frequently links adjacent subjects like Model predictive control. His Nuclear engineering research incorporates elements of Magnetic perturbation, Nuclear fusion, Plasma control, Control and Magnetic field perturbation. Marco Ariola has included themes like Beam and Toroid in his Control theory study.

Between 2015 and 2021, his most popular works were:

  • Overview of the JET results in support to ITER (111 citations)
  • Overview of the TCV tokamak program: scientific progress and facility upgrades (43 citations)
  • Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall (35 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Electrical engineering
  • Artificial intelligence

His primary areas of study are Tokamak, Materials science, Nuclear engineering, Divertor and Plasma. His studies deal with areas such as Computational physics and Magnetohydrodynamics as well as Tokamak. His Nuclear engineering study frequently links to other fields, such as Jet.

His study in Jet is interdisciplinary in nature, drawing from both Neutron, Beryllium and Joint European Torus. His Divertor study incorporates themes from Nuclear fusion, Beam, Control theory and Toroid. Plasma is closely attributed to Aerospace engineering in his study.

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.

Best Publications

Technical Communique: Finite-time control of linear systems subject to parametric uncertainties and disturbances

Francesco Amato;Marco Ariola;Peter Dorato.
Automatica (2001)

865 Citations

Technical communique: Finite-time stabilization via dynamic output feedback

Francesco Amato;Marco Ariola;Carlo Cosentino.
Automatica (2006)

565 Citations

Finite-time control of discrete-time linear systems

F. Amato;M. Ariola.
IEEE Transactions on Automatic Control (2005)

441 Citations

Technical communique: Finite-time stability of linear time-varying systems with jumps

Francesco Amato;Roberto Ambrosino;Marco Ariola;Carlo Cosentino.
Automatica (2009)

288 Citations

Brief paper: Finite-time control of discrete-time linear systems: Analysis and design conditions

Francesco Amato;Marco Ariola;Carlo Cosentino.
Automatica (2010)

266 Citations

Finite-Time Stability of Linear Time-Varying Systems: Analysis and Controller Design

F. Amato;M. Ariola;C. Cosentino.
IEEE Transactions on Automatic Control (2010)

261 Citations

Magnetic Control of Tokamak Plasmas

Marco Ariola;Alfredo Pironti.
(2008)

222 Citations

Finite-Time Stability and Control

Francesco Amato;Roberto Ambrosino;Marco Ariola;Carlo Cosentino.
(2013)

156 Citations

Overview of the JET results in support to ITER

X. Litaudon;S. Abduallev;M. Abhangi;P. Abreu.
Nuclear Fusion (2017)

154 Citations

Path Generation and Tracking in 3-D for UAVs

G. Ambrosino;M. Ariola;U. Ciniglio;F. Corraro.
IEEE Transactions on Control Systems and Technology (2009)

118 Citations

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