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
Electronics and Electrical Engineering D-index 41 Citations 10,476 163 World Ranking 1799 National Ranking 50

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Mathematical analysis
  • Nonlinear system

Control theory, Nonlinear system, Adaptive control, Induction motor and Nonlinear control are his primary areas of study. His study of Control theory is a part of Control theory. His study on Adaptive observer is often connected to Minimum phase as part of broader study in Nonlinear system.

His Adaptive control research focuses on subjects like Direct torque control, which are linked to Synchronous motor and Permanent magnet synchronous generator. His work on Vector control as part of general Induction motor research is frequently linked to Asynchronous communication, bridging the gap between disciplines. In his research, Robot, Adaptive algorithm, PID controller and Approximation theory is intimately related to Control system, which falls under the overarching field of Nonlinear control.

His most cited work include:

  • Nonlinear control design: geometric, adaptive and robust (432 citations)
  • Nonlinear control design (366 citations)
  • Robot control by using only joint position measurements (361 citations)

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

Patrizio Tomei mostly deals with Control theory, Nonlinear system, Adaptive control, Nonlinear control and Control engineering. His work on Linear system as part of general Control theory study is frequently linked to Minimum phase, bridging the gap between disciplines. The study incorporates disciplines such as Class, Bounded function and Robustness in addition to Nonlinear system.

His research in Adaptive control focuses on subjects like Fourier series, which are connected to Periodic function. He interconnects Control system and Feedback linearization in the investigation of issues within Nonlinear control. His Control engineering research includes elements of State variable and Artificial intelligence.

He most often published in these fields:

  • Control theory (95.50%)
  • Nonlinear system (37.50%)
  • Adaptive control (29.50%)

What were the highlights of his more recent work (between 2012-2021)?

  • Control theory (95.50%)
  • Nonlinear system (37.50%)
  • Linear system (15.00%)

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

Patrizio Tomei mainly focuses on Control theory, Nonlinear system, Linear system, Nonlinear control and Exponential function. The Control theory study combines topics in areas such as Control engineering and Induction motor. He has researched Nonlinear system in several fields, including Robot, System dynamics and Differential equation.

His Linear system research incorporates themes from Sign, Robust control and Internal model. The concepts of his Nonlinear control study are interwoven with issues in DC motor and Simulation. In his study, Special case, Compact space, Passivity and Salient is inextricably linked to Lemma, which falls within the broad field of Exponential function.

Between 2012 and 2021, his most popular works were:

  • On-Line Identification of Winding Resistances and Load Torque in Induction Machines (45 citations)
  • Disturbance cancellation for linear systems by adaptive internal models (37 citations)
  • Nonlinear tracking control for sensorless permanent magnet synchronous motors with uncertainties (34 citations)

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

  • Control theory
  • Mathematical analysis
  • Artificial intelligence

His primary areas of study are Control theory, Linear system, Nonlinear system, Output feedback and Induction motor. His research integrates issues of Control engineering and Direct torque control in his study of Control theory. His Control engineering research is multidisciplinary, incorporating perspectives in Control, Decoding methods, Open problem and Permanent magnet synchronous motor.

Patrizio Tomei combines subjects such as Simulation and Robustness with his study of Nonlinear system. His Output feedback study combines topics from a wide range of disciplines, such as Sign and Combinatorics. His study in Internal model is interdisciplinary in nature, drawing from both Zero and Adaptive control.

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

Nonlinear control design : geometric, adaptive and robust

Riccardo Marino;Patrizio Tomei.
Published in <b>1995</b> in London by Prentice-Hall (1995)

1748 Citations

Nonlinear control design

R Marino;P Tomei.
(1995)

565 Citations

Robot control by using only joint position measurements

S. Nicosia;P. Tomei.
IEEE Transactions on Automatic Control (1990)

504 Citations

Global adaptive observers for nonlinear systems via filtered transformations

R. Marino;P. Tomei.
IEEE Transactions on Automatic Control (1992)

358 Citations

Adaptive observers with arbitrary exponential rate of convergence for nonlinear systems

R. Marino;P. Tomei.
IEEE Transactions on Automatic Control (1995)

323 Citations

Robust stabilization of feedback linearizable time-varying uncertain nonlinear systems

Riccardo Marino;Patrizio Tomei.
Automatica (1993)

321 Citations

Global adaptive output feedback control of induction motors with uncertain rotor resistance

R. Marino;S. Peresada;P. Tomei.
IEEE Transactions on Automatic Control (1999)

298 Citations

Paper: Model reference adaptive control algorithms for industrial robots

S. Nicosia;P. Tomei.
Automatica (1984)

262 Citations

Robust adaptive observers for nonlinear systems with bounded disturbances

R. Marine;G.L. Santosuosso;P. Tomei.
IEEE Transactions on Automatic Control (2001)

256 Citations

Induction Motor Control Design

Riccardo Marino;Patrizio Tomei;Cristiano M. Verrelli.
(2010)

240 Citations

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