Frank L. Lewis

Frank L. Lewis is an American electrical engineer, academic and researcher. He is an Emeritus Professor of electrical engineering, former Moncrief-O’Donnell Endowed Chair, and former head of Advanced Controls and Sensors Group at The University of Texas at Arlington (UTA). He is a member of UTA Academy of Distinguished Teachers and a charter member of UTA Academy of Distinguished Scholars.

Lewis is a Thomson Reuters Web of Science highly cited Researcher. He is Ranked as number 23 in the world and 12 in the USA of all scientists in Electronics and Electrical Engineering by Research.com. He has authored 30 books, including Optimal Control, Optimal Estimation, Aircraft Control and Simulation, Applied Optimal Control and Estimation, and Robot Manipulator Control.

Lewis is a Fellow of National Academy of Inventors (NAI), Institute of Electrical and Electronics Engineers (IEEE), U.K. Institute of Measurement and Control, International Federation of Automatic Control (IFAC), and American Association for the Advancement of Science (AAAS).

Education Lewis studied at Rice University and received his bachelor's degree in physics and his master's degree in electrical engineering in 1971. He obtained his master's degree in aeronautical systems from University of West Florida in 1977. He then attended Georgia Institute of Technology and received his doctoral degree in electrical engineering in 1981. In 1992, he received his certification and licensure as Professional Engineer from State of Texas. He was certified as Chartered Engineer by United Kingdom Engineering Council in 2006. and Journal of Control Theory Technology. He is also a founder of International Symposium on Autonomous Systems (ISAS). He is a Founding Chair of the Mediterranean Control Association.

Research Lewis has made seminal contributions in the design of engineering automatic feedback controllers since 1983. He is Ranked as number 23 in the world and 12 in the USA of all scientists in Electronics and Electrical Engineering by Research.com. He made fundamental contributions in fields including cooperative multi-agent distributed systems, Reinforcement Learning in Control, Intelligent Control, Artificial Intelligence (AI), Nonlinear Control Systems, Robot System Control, Robust and Adaptive Control, Aircraft Control systems, Discrete-Event Systems, Manufacturing Process Control and Scheduling. He has written more than 548 journal papers and 30 books.

Reinforcement learning Since 2006 Lewis has developed a new generation of Optimal adaptive controllers for continuous-time dynamical systems using the new notion of Integral Reinforcement Learning (IRL). This allows the adaptive learning of Optimal control solutions online in real time. Using IRL, rigorous mathematical proofs can be developed for continuous-time systems Optimal control and yield a new two-timescale Actor-Critic architecture. This two-level Adaptive Dynamic Programming (ADP) structure resulted in a new generation of Policy Iteration Algorithms for continuous-time systems that significantly improved existing adaptive controllers by allowing them to learn Optimal Control solutions by measuring data online and hence to minimize prescribed performance indices such as minimum energy, minimum fuel, minimum time.

Awards and honors National Academy of Inventors Fellow 1988 - Fulbright Fellow Award for Program of Educational Exchange Between the United States and Greece 1989 - American Society Engineering Education Frederick E. Terman Award for Authors Under Forty 1990 - Moncrief-O'Donnell Endowed Chair, The University of Texas at Arlington 1994 - IEEE Control Systems Society International Outstanding Chapter Award 1995 - Appointed to 'NASA Committee on the Space Station’, National Academy of Engineering 1995 - Engineer of the Year, Ft. Worth IEEE Section 1997 - Sigma Xi National "Certificate of Excellence", The University of Texas at Arlington (UTA) 2009 - Gabor Award, Neural Network Society 2009 - Honeywell International Medal for Control Technology, Institute of Measurement and Control 2012 - IEEE Computational Intelligence Society Neural Networks Pioneer Award 2012–2015 - "Distinguished Lecturer", IEEE Control Systems Society 2013 - Outstanding Teacher Award, State of Texas Regents 2016 - American Institute of Aeronautics and Astronautics Intelligent Systems Award 2016 - Thomson Reuters Web of Science Highly Cited Researcher 2017 - Member, European Union Academy of Sciences 2017 - Liaoning Province International Science and Technology Cooperation Award 2018 - John Ragazzini Education Award, American Automatic Control Council 2020 - Awarded Top 1% Highly Top Cited Researcher by Clarivate Web of Science.