He is a professor of electrical engineering, Moncrief-O’Donnell Endowed Chair, and head of Advanced Controls and Sensors Group at The University of Texas at Arlington (UTA).
[3] Lewis is a Fellow of National Academy of Inventors (NAI),[4] Institute of Electrical and Electronics Engineers (IEEE),[5] U.K. Institute of Measurement and Control, International Federation of Automatic Control (IFAC), and American Association for the Advancement of Science (AAAS).
From 1983 till 1987, he served as a consultant in aircraft adaptive controls at Lockheed Advanced Research Organization, Atlanta, Georgia.
The essential contributions of this technology were to use mathematics based on Lyapunov Stability Theory, passivity, and nonlinear-in-the-parameters function approximation to invent novel feedback structures and parameter tuning laws that combine neural net backpropagation machine learning with adaptive feedback control robustifying terms.
[10] 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).
[11] Using IRL, rigorous mathematical proofs can be developed for continuous-time systems Optimal control and yield a new two-timescale Actor-Critic architecture.