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.
His primary areas of study are Control theory, Optimal control, Control theory, Artificial neural network and Nonlinear system. His Control theory research is multidisciplinary, incorporating elements of Control engineering and Reinforcement learning. His Optimal control research includes themes of Algebraic Riccati equation, Dynamic programming and Bellman equation.
He works mostly in the field of Control theory, limiting it down to topics relating to Trajectory and, in certain cases, Mobile robot, as a part of the same area of interest. His study in Artificial neural network is interdisciplinary in nature, drawing from both Passivity, Stability, Dynamical system, Bounded function and Robot control. His study looks at the intersection of Nonlinear system and topics like Inner loop with Singular perturbation.
Frank L. Lewis mostly deals with Control theory, Control theory, Control engineering, Artificial neural network and Nonlinear system. His study in Control theory concentrates on Adaptive control, Optimal control, Control system, Stability and Lyapunov function. As a member of one scientific family, Frank L. Lewis mostly works in the field of Optimal control, focusing on Reinforcement learning and, on occasion, System dynamics.
Within one scientific family, he focuses on topics pertaining to Trajectory under Control theory, and may sometimes address concerns connected to Tracking. His Control engineering study combines topics from a wide range of disciplines, such as Control, Robustness and Fuzzy logic. His research integrates issues of Motion control, Discrete time and continuous time, Bounded function and Feed forward in his study of Artificial neural network.
The scientist’s investigation covers issues in Control theory, Control theory, Reinforcement learning, Optimal control and Nonlinear system. His studies deal with areas such as Artificial neural network, Control, Tracking and Multi-agent system as well as Control theory. His Control theory study incorporates themes from Control system, Actuator and Position.
His Reinforcement learning research includes themes of Observer, Mathematical optimization, Hamilton–Jacobi–Bellman equation and System dynamics. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Convergence and Linear system. The concepts of his Optimal control study are interwoven with issues in Q-learning, Discrete time and continuous time, Algorithm, Dynamic programming and Process control.
Frank L. Lewis spends much of his time researching Control theory, Control theory, Multi-agent system, Optimal control and Reinforcement learning. He has researched Control theory in several fields, including Artificial neural network, Control and Tracking. Frank L. Lewis combines subjects such as Control system, Aerodynamics, Attitude control, Vehicle dynamics and Position with his study of Control theory.
His studies in Optimal control integrate themes in fields like Discrete time and continuous time, Dynamic programming, Approximation algorithm, Feed forward and Process control. His work carried out in the field of Reinforcement learning brings together such families of science as Control engineering and Mathematical optimization. In general Nonlinear system study, his work on Adaptive control and Robust control often relates to the realm of Regulator, thereby connecting several areas of interest.
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Frank L. Lewis.
Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems
Brian L. Stevens;Frank L. Lewis;Eric N. Johnson.
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.
Control of Robot Manipulators
Frank L. Lewis;D. M. Dawson;C. T. Abdallah.
A survey of linear singular systems
F. L. Lewis.
Circuits Systems and Signal Processing (1986)
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.
Control of a nonholomic mobile robot: Backstepping kinematics into dynamics
Rafael Fierro;Frank L. Lewis.
Journal of Robotic Systems (1997)
Multilayer neural-net robot controller with guaranteed tracking performance
F.L. Lewis;A. Yesildirek;Kai Liu.
IEEE Transactions on Neural Networks (1996)
Transactions of the Institute of Measurement and Control
(Impact Factor: 2.146)
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