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2020 – today
- 2022
[c4]Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson:
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC 2022: 342-357- 2021
- [j4]Richard D. Braatz, Thomas A. Badgwell, Phillip R. Westmoreland
:
Foundations in Process Analytics and Machine Learning (FOPAM). Comput. Chem. Eng. 146: 107225 (2021)
2010 – 2019
- 2019
- [j3]Joohyun Shin, Thomas A. Badgwell, Kuang-Hung Liu, Jay H. Lee:
Reinforcement Learning - Overview of recent progress and implications for process control. Comput. Chem. Eng. 127: 282-294 (2019) - 2015
- [r1]Thomas A. Badgwell, Si-Zhao Joe Qin:
Model-Predictive Control in Practice. Encyclopedia of Systems and Control 2015 - 2014
- [c3]Weichang Li, Thomas A. Badgwell:
Structured covariance estimation for state prediction. CDC 2014: 296-303
2000 – 2009
- 2006
- [j2]Michael A. Henson, Thomas A. Badgwell:
Preface. Comput. Chem. Eng. 30(10-12): 1425 (2006) - 2002
- [c2]Thomas A. Badgwell, Kenneth R. Muske:
Disturbance model design for linear model predictive control. ACC 2002: 1621-1626 - 2000
- [c1]Sameer Ralhan, Thomas A. Badgwell:
Robust output disturbance rejection for stable systems. ACC 2000: 1832-1836
1990 – 1999
- 1997
- [j1]Thomas A. Badgwell:
Robust Stability Conditions for SISO Model Predictive Control Algorithms. Autom. 33(7): 1357-1361 (1997)
Coauthor Index
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