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Research Profile
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  Faculty Profile  Faculty ProfileLast Modified Time: 01:40:47 PM Sat, 3 Oct 2009 
Dr. Frank L. Lewis
 Contact Information
Dr. Frank L. Lewis Associated Profiles 
Faculty Associate Research-Automation & Robotics, Institute Senior Fellow and Moncrief-O’Donnell Endowed Chair-ARRI and Electrical Engineering
 
Contact address   Arlington, TX 76019     Office LocationMail Box: 19045 
Email  lewis@uta.edu    Contact Number 817- 272-5972    Contact Number: 817-272-5955    Fax No: 817-272-5989    Department of Electical Engineering Department of Electical Engineering   Advanced Controls and Sensor Group Advanced Controls and Sensor Group   INSERTINSERT   
Keywords Feedback control systems, Intelligent control with neural networks, nonlinear control systems, Discrete event supevisory control   
 Professional Preparation
 DegreeMajorInstitutionYear
 Ph.D.Control Systems, EEGeorgia Tech1981
 M.S.Aeronautical SystemsUniversity West Fla.1977
 B.A.EE/PhysicsRice University1971
 M.E.E. Rice University1971
 Research and Expertise
Nonlinear and adaptive feedback control systems
 

Nonlinear Control Systems, Process Control, DoD vehicle & platform control, aircraft control
 

Neural Network, Fuzzy Logic, and Discrete Event Rule-Based Control
 

Expertise
 

Frank Lewis is the Moncrief-O'Donnell Professor of Electrical Engineering and Senior Fellow of the Automation & Robotics Research Institute at The University of Texas at Arlington. He is a University Distinguished Scholar Professor. He holds degrees in physics, electrical engineering and aerospace systems from Rice University and the University of West Florida. He received his PhD from the Georgia Institute of Technology in 1981. From 1971 to 1977 he was with the United States Navy. His final position was Executive Officer and Acting Commanding Officer, USS Salinan (ATF-161).

Dr. Lewis is a registered Professional Engineer in the State of Texas and a Chartered Engineer with the U.K. Engineering Council. He is a Fellow of the IEEE, a Fellow of IFAC, and a Fellow of the U.K. Royal Institute of Measurement & Control. He is the author or co-author of 6 U.S. patents, 205 journal papers, 320 referred published conference papers, 32 book chapters, and 12 books. 

See Dr. Lewis' website at http://arri.uta.edu/acs


autonomous systems decision and control
 

reinforcement learning and optimal adaptive control
 

toggle toggle  Publications/Creative Works
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Year Description Type Tags Status
ForthcomingP. Ballal and F. L. Lewis, Wireless Sensor Network Design. National Technology and Science Press,.BookRefereed/JuriedAccepted
ForthcomingF. L. L. Borovic and A. Q. Liu. "Feedback Control for MEMS," Systems and Control, M. Jamshidi, Eds. Albuquerque: TSI Press, pp. 45-54.Book ChapterRefereed/JuriedPublished
ForthcomingD. Vrabie and F. L. Lewis. "Online Adaptive Optimal Control based on Reinforcement Learning," Optimization and Optimal Control: Theory and Applications, A. Chinchuluun, Eds. Berlin: Springer.Book ChapterRefereed/JuriedAccepted
ForthcomingF. L. L. Ballal and G. R. Hudas. "Trust-Based Collaborative Control for Teams in Communication Networks," Recent Advances in Nonlinear Dynamics and Synchronization – Theory and Applications Springer.Book ChapterRefereed/JuriedAccepted
2009G. Vachtsevanos and F. L. Lewis. "Special Issue on Intelligent Diagnostics and Prognostics," Trans. Inst. Measurement and Control, vol. 31, no. 3/4, June 2009.Journal ArticleRefereed/JuriedPublished
 Affiliations
Collaborators
Kimon Valavanis, Univ. of Denver
S. Jagannathan, Missouri University of Science and Technology
Jie Huang, Chinese Univ. Hong Kong
Sam Ge, National Univ. Singapore
 Appointments
DurationRankDepartment / SchoolCollege / OfficeUniversity / Company
presentProfessorElectrical EngineeringCollege of EngineeringUniversity of Texas at Arlington
presentMoncrief-O'Donnell Chair Automation & Robotics Research InstituteUniversity of Texas at Arlington
 Synergistic Activities
Committees- former
National Research Council (NRC) Committee on the Space Station, IEEE Control Systems Society Board of Governors

Committees
Board of Governors of the Mediterranean Control Association, Founding Member

Editor Taylor & Francis/CRC Press book series on Automation & Control Engineering

 Support
 DurationTitleSponsorAmountStatus
2009-2012Trust-based Control of Networked teams on GraphsAFOSR$250KCurrent
2009-2010advanced intelligent learning control for UAVDARPA/SignalPro Inc.$30KCurrent
2008-2011Approximate Dynamic ProgrammingNSF$250KCurrent
2008-2011nonlinear motion control of networked autonomous teamsARO/NAC$100KCurrent
2008-2009wireless sensor networks for machinery moniroting and diagnosticsDoE/SignalPro Inc.$180KCurrent
 Teaching
 
EE 5321-001 - Optimal Control
Spring 2009
EE5321- OPTIMAL CONTROL (3-0).  Design of optimal control systems. Topics include optimization under constraints, linear quadratic regulators, Riccati equation, suboptimal control, dynamic programming, calculus of variations, and Pontryagin's minimum principle. A prior introductory systems course, such as EE 5307 is desirable.
Download Syllabus (39.91KB. This syllabus was uploaded Saturday 20th, December 2008 02:16:59 PM and is subject to change.)
Optimal Control
Contact Information
  Hours: after class
Phone: 817- 272-5972  Email: lewis@uta.edu

 
EE 5322-001 - Intelligent Control
Spring 2009
EE 5322.   INTELLIGENT CONTROL SYSTEMS (3-0).  Principles of intelligent control including adaptive, learning, and self-organizing systems. Neural networks and fuzzy logic systems for feedback control.  Discrete event systems and decision-making supervisory control systems. Manufacturing work-cell control. Advanced sensor processing including Kalman filtering and sensor fusion.
Download Syllabus (40.1KB. This syllabus was uploaded Saturday 20th, December 2008 02:19:17 PM and is subject to change.)
Intelligent Control
Contact Information
  Hours: after class
Phone: 817- 272-5972  Email: lewis@uta.edu

 
EE 5307-001 - Linear Control Systems
Fall 2008

EE 5307.  Linear Systems Engineering (3-0) 3 hours credit.  Topics include state-space description of dynamic systems, analysis and design of linear systems, similarity transformation, state feedback, state observers, and matrix characterization of multivariable systems.


Download Syllabus (34.1KB. This syllabus was uploaded Saturday 03rd, October 2009 01:29:44 PM and is subject to change.)
Course URL
Contact Information
Phone: 817- 272-5972  Email: lewis@uta.edu

 
EE 5323-001 - Nonlinear Control Systems
Fall 2009

EE 5323- Nonlinear Control Systems (3-0) 3 hours credit.  Analysis and design of nonlinear systems. This is a general course in nonlinear systems with examples from multiple engineering and science disciplines. Topics include phase planes, Lyapunov theory, describing functions, iterative maps, chaos and fractals, and nonlinear optimization methods.  Prerequisite knowledge:  EE 5307 or its equivalent is highly recommended.


Download Syllabus (42.04KB. This syllabus was uploaded Saturday 03rd, October 2009 01:31:20 PM and is subject to change.)
Course URL
Contact Information
Phone: 817- 272-5972  Email: lewis@uta.edu


For the Official List of Courses for registration, please visit MyMav - Schedule of Classes
 Additional Information
Awards and Honors
"Who's Who in the World", "Who's Who in Science and Technology", Int. Neural Network Soc. Gabor Award, Fulbright Research Award, the American Society of Engineering Education F.E. Terman Award, U.K. Inst. Measurement & Control Honeywell Award, three Sigma Xi Research Awards, the UTA Halliburton Engineering Research Award, the UTA University-Wide Distinguished Research Award, the IEEE Control Systems Society Best Chapter Award, IEEE Dallas Section "Outstanding Service Award" in 1994, selected as Engineer of the Year in 1995 by the Ft. Worth IEEE Section

Awards
IEEE Fellow, IFAC Fellow, Fellow UK Inst. Meaurement & Control, IEEE Control Systems Soc. Distinguished Lecturer, PE Texas, U.K. Chartered Engineer, Ft Worth PE of the Year 1995, Fulbright Research Award, ASEE Terman Award,  NY Academy of Science, NASA Committee on Space Station 1995, FW Bus. Press "Top 200 Leaders".  Texts on aircraft control, robotics, neural networks.   Research Awards, Paper Awards,

 
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