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Technical Lead: F.L. Lewis, Ph.D.
            Fellow IEEE, Fellow IFAC
            PE Texas, Chartered Engineer U.K. Eng. Council
            University Distinguished Scholar Professor
            Senior Fellow, Automation & Robotics Research Institute
                                    lewis@uta.edu

            Moncrief-O’Donnell Endowed Chair
                        2004 annual report
                        2005 annual report
                        2006 annual report
                        2007 annual report
                        2008 annual report
                        2009 annual report
                        2010 annual report
                        2011 annual report

 

 

 

Research Areas: 

Intelligent Nonlinear Control

            Neural network feedback control

            Hamilton Jacobi equation solution using neural networks

            Optimal control for nonlinear systems

            H-infinity (game theory) control

Approximate Dynamic Programming

            ADP for discrete time systems

            ADP for continuous-time systems

Discrete Event Supervisory Control

            For robotic assembly cells

            For wireless sensor networks

Intelligent Diagnostics and Prognostics

 

Software from sponsored research

Software for UAV Decision & Control

 

Labs

            Distributed Intelligence & Autonomy Lab (DIAL)

            Autonomous Systems Lab (UAV helicopters and UGV)

Book RL and ADP volume

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RECENT PRESENTATIONS

CDC Orlando 2011 workshop
Optimal Adaptive Control: Online Solutions for Optimal Feedback Control and Differential Games Using Reinforcement Learning”
     Lewis notes- MDP and reinforcement learning
     Busoniu notes
     Jagannathan notes
     Vrabie notes
     Lewis notes- online synchronous policy iteration


UTA Workshop on Building a Successful Research program and Mentoring PhD Students, 15 October, 2010.

“Online Optimal Adaptive Control: Real-Time learning of optimal control and zero-sum game solutions,” Plenary Talk, Chinese Conf. Decision & Control, Xuzhou, May 2010.

"Distributed Adaptive Control for Synchronization of Unknown Nonlinear Networked Systems,” Invited Talk, 9th Symposium on Frontier Problems in System and Control, Chinese Academy of Sciences, Beijing, May 2010

Decision & Control for Sustainable Manufacturing and Green Engineering, A-Star Singapore Manufacturing Technology Institute SIMTech, May 2010.

Structural Health Monitoring for Aircraft Skin Systems, A-Star Data Storage Institute DSI, Singapore, August 2009.

Online Learning of Optimal Controllers for Continuous-Time systems, Asian Control Conference ASCC, Hong Kong, Aug. 2009.
Adaptive dynamic programming and reinforcement learning for control applications, Invited Workshop, Int. Symposium on ADP/RL, Nashville, April, 2009.
Adaptive Optimal Control, Semi-Plenary Talk, IEEE Conf. Decision & Control, Cancun, Dec. 2008
Neuro Dynamic Programming (ADP) for continuous-time systems, Int. Conf. Intelligent Control, Shanghai, Sept. 2008
Adaptive Dynamic Programming (ADP) for discrete-time systems, Bill Wolovich 70 BD Workshop, Cancun, Dec. 2008
Notes on Optimal Control, Mike Athans 70th BD workshop, Oct. 2007
Adaptive Dynamic programming for Continuous-Time systems, Mike Sain 70th BD workshop, Oct. 2007
Adaptive Dynamic Programming for Feedback Control, plenary talk, Workshop on ADP/RL, Hawaii, 2007.

 

Online Learning Design of Optimal Flight Controllers, Int. Symp. Systems and Control in Aeronautics and Astronautics (ISSCAA 2010), Harbin, China. June 2010.
Flight Control for UAV:  helicopter platform control and cooperative formation discrete event control, 2008

 

Discrete Event Decision & Control Using a Matrix Framework, IEEE Conf. Industrial Electronics & Applications, Singapore, June 2008.
Discrete Event Control Framework and deadlock in Petri nets, Workshop on Petri nets and Agile Manufacturing, Xian, June 2008.

 

Wireless Sensor Network Applications in UAV Helicopters and Intelligent Diagnostics, IDGA Military Conf, Washington DC, May 2008
Wireless Sensor Networks:  Issues, Advances, Open Problems, CIS-RAM Conference Bangkok, June 2006
Wireless Sensor Networks, Inst. Infocom Research & NTU, Singapore, March 2006

 

Intelligent diagnostics & prognostics for structural health monitoring, A-Star Data Storage Institute, Singapore, Aug 2009.
Intelligent Diagnostics & Prognostics, Fort Worth METROCON, 2007.

 

INFORMATION FOR NEW STUDENTS APPLYING – Apply through Graduate Adviser, Dept. of Electrical Engineering

 

Ph.D. Students:

  • Abhijit Das, nonlinear autopilots for UAV helicopters
  • Kyriakos Vamvoudakis, neural networks for feedback control
  • Emanuel Stingu, autonomous aerial vehicles, helicopters
  • Mohammed Abouheaf, nonlinear control of electric power systems
  • Hongwei Zhang, optimal control
  • Erick Trofimoff, nonlinear control systems
  • Muhammad Aurangzeb, trust-based control
  • Kristian Hengster-Movric, trust-based control

 

MS and U-Grad students:

·        Chris McMurrough, U-Grad, semiautonomous small disposable UAV

·        Matt Middleton, U-Grad, semiautonomous small disposable UAV

·        Drew Morgan

·        Anthony Sala

 

Former Ph.D. Students:

  • Draguna Vrabie, Neural Networks for Control- Approximate Dynamic Programming for continuous-time systems
  • Prasanna Ballal, Wireless Sensor Networks
  • Pritpal Dang, Man-Machine Interface
  • J. Gadewadikar, H-infinity control, output feedback control, helicopter UAV control
  • Asma AL-Tamimi, Approximate Dynamic Programming for discrete-time systems
  • Cheng Tao, finite horizon optimal control for nonlinear systems
  • M. Abu-Khalaf, Nonlinear Control and HJB Equation Design
  • B. Borovic, Microelectromechanical systems (MEMS)
  • J. Mireles, Intelligent Robot Control, Microelectromechanical systems (MEMS)

 


 Research Supported by:

National Science Foundation

Army Research Office, Army National Automotive Center, TARDEC/RDECOM

Air Force Office of Scientific Research

ONR, NASA, and ARO SBIR Contracts

Texas State

 

 


    F.L. Lewis Professional Details-


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Automation and Robotics Research Institute

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