World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
146
Citations
108181
World Ranking
20
National Ranking
11

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - Fellow, National Academy of Inventors
  • 2008 - Fellow of the International Federation of Automatic Control (IFAC)
  • 1994 - IEEE Fellow For contributions to descriptor systems and to control system education.

Overview

Frank L. Lewis is affiliated with The University of Texas at Arlington in the United States. Their research spans multiple domains within computer science and engineering, with a significant focus on control systems and adaptive algorithms.

The scientist has contributed extensively to fields including:

  • Computer Science
  • Engineering

Within these broader fields, their work often addresses specific subfields such as:

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Their main topics of investigation include:

  • Adaptive Dynamic Programming Control
  • Adaptive Control of Nonlinear Systems
  • Reinforcement Learning in Robotics
  • Distributed Control Multi-Agent Systems
  • Neural Networks Stability and Synchronization
  • Mechanical Circulatory Support Devices
  • Advanced Control Systems Optimization

Frank L. Lewis has published research papers in various venues, most notably in the following journals:

  • IEEE Transactions on Cybernetics
  • Automatica
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Automatic Control

Recent notable papers include:

  • "Prescribed-Time Control and Its Latest Developments," 2023, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications," 2023, IEEE/CAA Journal of Automatica Sinica
  • "Data-Driven Fault-Tolerant Control for Attitude Synchronization of Nonlinear Quadrotors," 2021, IEEE Transactions on Automatic Control
  • "Value iteration and adaptive optimal output regulation with assured convergence rate," 2022, Control Engineering Practice
  • "Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently collaborates with others in the field. Their prominent coauthors include:

  • Bosen Lian
  • Wenqian Xue
  • Tianyou Chai
  • Yongduan Song
  • Yan Wan

In addition to academic papers, Frank L. Lewis has contributed to book publications with Springer Nature, including:

  • Reinforcement Learning, 2023
  • Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games, 2024

The scientist has received several awards throughout their career, such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2016
  • Fellow, National Academy of Inventors, 2013
  • Fellow of the International Federation of Automatic Control (IFAC), 2008
  • IEEE Fellow, 1994, recognized for contributions to descriptor systems and control system education

Best Publications

  • Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems

    Brian L. Stevens;Frank L. Lewis;Eric N. Johnson

  • Optimal Control

    Frank L. Lewis

  • Aircraft Control and Simulation

    Brian L. Stevens;Frank L. Lewis

  • Neural Network Control of Robot Manipulators and Nonlinear Systems

    F. L. Lewis;A. Yesildirak;Suresh Jagannathan

  • A survey of linear singular systems

    F. L. Lewis

  • Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem

    Kyriakos G. Vamvoudakis;Frank L. Lewis

  • Control of Robot Manipulators

    Frank L. Lewis;D. M. Dawson;C. T. Abdallah

  • Reinforcement learning and adaptive dynamic programming for feedback control

    F.L. Lewis;D. Vrabie

  • Optimal Control: Lewis/Optimal Control 3e

    Frank L. Lewis;Draguna L. Vrabie;Vassilis L. Syrmos

  • Optimal Estimation: With an Introduction to Stochastic Control Theory

    Frank L. Lewis

  • Intelligent Fault Diagnosis and Prognosis for Engineering Systems

    George Vachtsevanos;Frank Lewis;Michael Roemer;Andrew Hess

  • Robot Manipulator Control: Theory and Practice

    Frank L. Lewis;Darren M. Dawson;Chaouki T. Abdallah

  • Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

    Murad Abu-Khalaf;Frank L. Lewis

  • Control of a nonholomic mobile robot: Backstepping kinematics into dynamics

    Rafael Fierro;Frank L. Lewis

  • Multilayer neural-net robot controller with guaranteed tracking performance

    F.L. Lewis;A. Yesildirek;Kai Liu

  • Wireless Sensor Networks

    Frank L. Lewis

  • Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof

    A. Al-Tamimi;F.L. Lewis;M. Abu-Khalaf

  • Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers

    F. L. Lewis;D. Vrabie;K. G. Vamvoudakis

  • Brief paper: Adaptive optimal control for continuous-time linear systems based on policy iteration

    D. Vrabie;O. Pastravanu;M. Abu-Khalaf;F. L. Lewis

  • Control of a nonholonomic mobile robot using neural networks

    R. Fierro;F.L. Lewis

Frequent Co-Authors

Ali Davoudi
Ali Davoudi The University of Texas at Arlington
Sarangapani Jagannathan
Sarangapani Jagannathan Missouri University of Science and Technology
Chaouki T. Abdallah
Chaouki T. Abdallah Georgia Institute of Technology
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Yongduan Song
Yongduan Song Chongqing University
Tianyou Chai
Tianyou Chai Northeastern University
Lihua Xie
Lihua Xie Nanyang Technological University
Darren M. Dawson
Darren M. Dawson Methode Electronics
Shengyuan Xu
Shengyuan Xu Nanjing University of Science and Technology
David Naso
David Naso Polytechnic University of Bari

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