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tbadgwell@che.utexas.edu
Office Location: CPE 3.422
Thomas Badgwell
Professor of Practice
Educational Qualifications
Ph.D., Chemical Engineering, The University of Texas at Austin (1992)
M.S., Chemical Engineering, The University of Texas at Austin (1990)
B.S., Chemical Engineering, Rice University (1982)
Focus
Modeling, optimization, and control of chemical processes.
Awards & Honors
- Control Global Process Automation Hall of Fame, 2022
- Computing Practice Award, Computing and Systems Technology (CAST) Division, 2013
- Fellow of the American Institute of Chemical Engineers (AIChE)
Selected Publications
- Badgwell T.A., Qin S.J., Model Predictive Control in Practice, In: Baillieul J., Samad T. (eds) Encyclopedia of Systems and Control. Springer, London, 2019
- Joohyun Shin, Thomas A.Badgwell, Kuang-Hung Liu, Jay H. Lee, Reinforcement learning – Overview of recent progress and implications for process control, Computers & Chemical Engineering, Volume 127, 4 August 2019, Pages 282-294, 2019
- Joe Qin, Thomas A. Badgwell, Control Engineering Practice Volume 11, Issue 7, July 2003, Pages 733-764, 2003
- Kenneth R. Muske, Thomas A Badgwell, Journal of Process Control Volume 12, Issue 5, August 2002, Pages 617-632, 2002
- Allgöwer F., Badgwell T.A., Qin J.S., Rawlings J.B., Wright S.J., Nonlinear Predictive Control and Moving Horizon Estimation—An Introductory Overview, In: Frank P.M. (eds) Advances in Control. Springer, London, 1999
- Thomas A. Badgwell, Automatica Volume 33, Issue 7, Pages 1357-1361, 1997
- Thomas A. Badgwell, Robust model predictive control of stable linear systems, International Journal of Control, 68:4, 797-818, 1997
