D-Index & Metrics Best Publications
Electronics and Electrical Engineering
Portugal
2023

D-Index & Metrics 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.

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 58 Citations 9,754 335 World Ranking 1119 National Ranking 2

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in Portugal Leader Award

2022 - Research.com Electronics and Electrical Engineering in Portugal Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Electrical engineering

Antonio M. Pascoal mainly focuses on Control theory, Control engineering, Nonlinear control, Control system and Convergence. His work is connected to Lyapunov function, Nonlinear system, Control theory, Vehicle dynamics and Adaptive control, as a part of Control theory. The concepts of his Control engineering study are interwoven with issues in Remotely operated underwater vehicle and Trajectory.

Antonio M. Pascoal has researched Nonlinear control in several fields, including Autonomous system, Autopilot and Controller design. The study incorporates disciplines such as Scheduling, Output feedback and Mobile robot in addition to Control system. His study looks at the relationship between Convergence and topics such as Path following, which overlap with Key.

His most cited work include:

  • Trajectory Tracking for Autonomous Vehicles: An Integrated Approach to Guidance and Control (275 citations)
  • Issues, progress and new results in robust adaptive control (207 citations)
  • Adaptive, non-singular path-following control of dynamic wheeled robots (180 citations)

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

Antonio M. Pascoal mainly investigates Control theory, Control engineering, Underwater, Control theory and Nonlinear system. Antonio M. Pascoal regularly links together related areas like Position in his Control theory studies. He interconnects Mobile robot, Motion control, Control, Vehicle dynamics and Trajectory in the investigation of issues within Control engineering.

His biological study spans a wide range of topics, including Terrain, Marine engineering, Real-time computing, Simulation and Robot. His work on Underactuation as part of general Control theory study is frequently linked to A priori and a posteriori, therefore connecting diverse disciplines of science. The Nonlinear system study combines topics in areas such as Linear system and Robustness.

He most often published in these fields:

  • Control theory (46.70%)
  • Control engineering (31.40%)
  • Underwater (21.11%)

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

  • Underwater (21.11%)
  • Robot (11.08%)
  • Control theory (46.70%)

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

Antonio M. Pascoal mainly investigates Underwater, Robot, Control theory, Position and Motion planning. His research in Underwater intersects with topics in Marine engineering, Particle filter, Real-time computing and Robustness. The various areas that Antonio M. Pascoal examines in his Robustness study include Control engineering, Lyapunov function and Task analysis.

His work on Control theory as part of general Control engineering research is frequently linked to Sampling time, bridging the gap between disciplines. His research in Robot focuses on subjects like Terrain, which are connected to Bathymetry. His Control theory research incorporates themes from Control and Bounded function.

Between 2015 and 2021, his most popular works were:

  • Environmental Monitoring using Autonomous Vehicles: A Survey of Recent Searching Techniques (64 citations)
  • Range-Based Underwater Vehicle Localization in the Presence of Unknown Ocean Currents: Theory and Experiments (58 citations)
  • Synchronization of Multiagent Systems Using Event-Triggered and Self-Triggered Broadcasts (46 citations)

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

  • Artificial intelligence
  • Control theory
  • Electrical engineering

His primary areas of study are Underwater, Robot, Artificial intelligence, Control theory and Control engineering. His work deals with themes such as Terrain, Human–computer interaction, Simulation, Position and Sonar, which intersect with Underwater. His work carried out in the field of Robot brings together such families of science as Remote sensing and Systems engineering.

In the field of Artificial intelligence, his study on Robotics and Navigation system overlaps with subjects such as Context. His Control theory research includes themes of Estimation theory, Projection and Initial value problem. His Control engineering research includes elements of Control, Dynamic positioning and Robustness.

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

Trajectory Tracking for Autonomous Vehicles: An Integrated Approach to Guidance and Control

Isaac Kaminer;Antonio Pascoal;Eric Hallberg;Carlos Silvestre.
Journal of Guidance Control and Dynamics (1998)

367 Citations

Adaptive, non-singular path-following control of dynamic wheeled robots

D. Soetanto;L. Lapierre;A. Pascoal.
conference on decision and control (2003)

316 Citations

Dynamic positioning and way-point tracking of underactuated AUVs in the presence of ocean currents

A. P. Aguiar;A. M. Pascoal.
International Journal of Control (2007)

312 Citations

Issues, progress and new results in robust adaptive control

Sajjad Fekri;Michael Athans;Antonio Pascoal.
International Journal of Adaptive Control and Signal Processing (2006)

278 Citations

Combined trajectory tracking and path following: an application to the coordinated control of autonomous marine craft

P. Encarnacao;A. Pascoal.
conference on decision and control (2001)

274 Citations

Brief paper: A velocity algorithm for the implementation of gain-scheduled controllers

Isaac Kaminer;Antonio M. Pascoal;Pramod P. Khargonekar;Edward E. Coleman.
Automatica (1995)

269 Citations

3D path following for autonomous underwater vehicle

P. Encarnacao;A. Pascoal.
conference on decision and control (2000)

239 Citations

Coordinated Path-Following in the Presence of Communication Losses and Time Delays

R. Ghabcheloo;A. P. Aguiar;A. Pascoal;C. Silvestre.
Siam Journal on Control and Optimization (2009)

226 Citations

Nonlinear path following with applications to the control of autonomous underwater vehicles

L. Lapierre;D. Soetanto;A. Pascoal.
conference on decision and control (2003)

196 Citations

Robotic ocean vehicles for marine science applications: the European ASIMOV project

A. Pascoal;P. Oliveira;C. Silvestre;L. Sebastiao.
oceans conference (2000)

176 Citations

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