Technical Lead: F.L. Lewis, Ph.D.
Cooperative Control of Distributed Systems on Graphs
See recent presentations below
Reinforcement Learning & Approximate Dynamic Programming
See recent presentations below
Intelligent Nonlinear Control
Optimal control for nonlinear systems
Discrete Event Supervisory Control
 F.L. Lewis, D. Vrabie, and V. Syrmos, Optimal Control, third edition, John Wiley and Sons, New York, 2012.
 F.L. Lewis, L. Xie, and D. Popa, Optimal & Robust Estimation: With an Introduction to Stochastic Control Theory, CRC Press, Boca Raton, 2007. Second Edition.
 B.L. Stevens and F.L. Lewis, Aircraft Control and Simulation, John Wiley and Sons, New York, Feb. 1992. Second edition, 2003.
 F.L. Lewis and Derong Liu, editors, Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, John Wiley/IEEE Press, Computational Intelligence Series. 2012.
 F.L. Lewis, H. Zhang, K. Hengster-Movric, A. Das, Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches, Springer-Verlag, 2014.
F.L. Lewis, S. Jagannathan, and A. Yesildirek,
Neural Network Control of Robot
Manipulators and Nonlinear Systems, Taylor and Francis, London, 1999.
download pdf file
 F.L. Lewis, Applied Optimal Control and Estimation: Digital Design and Implementation, Prentice-Hall, New Jersey, TI Series, Feb. 1992.
F.L. Lewis, D.M. Dawson, and C.T. Abdallah, Robot
Manipulator Control: Theory and Practice, 2nd edition, Revised and Expanded, CRC Press, Boca Raton, 2006.
download pdf file
 Y. Kim and F.L. Lewis, High-Level Feedback Control with Neural Networks," World Scientific, Singapore, 1998.
 G. Vachtsevanos, F.L. Lewis, M. Roemer, A. Hess, B. Wu, Intelligent Fault Diagnosis and Prognosis for Engineering Systems, John Wiley, New York, 2006.
Data-driven Control and Optimization for Industrial Processes, Workshop at Northeastern University, Shenyang, China, May 2014. Qian Ren and Project 111 Program.
Reinforcement Learning and ADP for Real-Time Optimal Control and Dynamic Games, Plenary Talk, Int. Joint Conference on Neural Networks, Dallas, August 2013
Data-driven Control and Optimization for Industrial Processes: Reinforcement Learning & Supervisory Control, Workshop at Northeastern University, Shenyang, China, July 2013. Project 111 Program.
Optimal Distributed Cooperative Control of Multi-Agent Systems and Graphical Games, Plenary Talk, Int. Conf. Intelligent Control and Information Processing ICICIP, Beijing, June 2013.
Distributed Cooperative Control for Electric Power Microgrid Applications, Plenary Talk, IEEE CYBER, Nanjing, May 2013.
Reinforcement Learning Adaptive Structures for Real-Time Optimal Control and Graphical Games, Invited Talk, Chinese University of Hong Kong, May 2013.
Adaptive Tuning for Optimal Process Control and Multi-Process Games Using Reinforcement Learning, Singapore Institute of Manufacturing Technology SIMTech, May 2013.
Optimal Adaptive Control Using Reinforcement Learning, Opening Plenary Talk, IEEE Multi-Conference on Systems and Controls, Dubrovnik, Croatia, Oct. 2012.
Novel Adaptive Control Structures by Reinforcement Learning, Opening Plenary Talk, Int. Conf. on System Theory, Control and Computing, Sinaia, Romania, Oct. 2012.
Reinforcement Methods for Online Learning in Autonomous Robotic Systems, Plenary Talk, FIRA Robo World Congress, Bristol, UK, 20 August 2012.
Cooperative Control: Stability versus global optimality, Chinese Academy of Sciences, 2012
Cooperative control: optimal design and Graphical Games, Chinese Academy of Sciences, 2012
Cooperative Control: Optimal Design, Observers, distributed adaptive control, Chinese Academy of Sciences, 2011
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
Lewis notes- online synchronous policy iteration
Optimal Control and Online Game Solutions Using Approximate Dynamic Programming, Workshop, Symp. ADP/RL, Paris, April 2011.
“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
Structural Health Monitoring for Aircraft Skin Systems, A-Star Data Storage Institute DSI, Singapore, August 2009.
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
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.
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
& 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
Recent Former Ph.D. Students:
Research Supported by:
National Science Foundation
Office of Naval Research
Army Research Office, Army National Automotive Center, TARDEC/RDECOM
Air Force Office of Scientific Research
ONR, NASA, and ARO SBIR Contracts
F.L. Lewis Professional Details-
Grants and Contracts
A map to UTARI is on the UTARI website under ‘Contact Us’