Richard D. Braatz (born July 19, 1966) is the Edwin R. Gilliland Professor at the Massachusetts Institute of Technology known for his research in control theory and its applications to chemical, pharmaceutical, and materials systems.

Richard D. Braatz
Born (1966-07-18) July 18, 1966 (age 58)
NationalityAmerican
Alma materOregon State University
Caltech
AwardsDonald P. Eckman Award
Antonio Ruberti Young Researcher Prize
Hertz Foundation
National Academy of Engineering
Scientific career
FieldsControl theory
InstitutionsMassachusetts Institute of Technology
Doctoral advisorManfred Morari

He has received many honors, including the Hertz Foundation Thesis Prize, the Donald P. Eckman Award and John R. Ragazzini Award from the American Automatic Control Council, the Curtis W. McGraw Research Award from the Engineering Research Council, and the Antonio Ruberti Young Researcher Prize from the Antonio Ruberti Foundation and IEEE Control Systems Society. Braatz became a member of the National Academy of Engineering in 2019.[1] He is a Fellow of the International Federation of Automatic Control, the Institute of Electrical and Electronics Engineers, and the American Association for the Advancement of Science.

Braatz graduated from Oregon State University with a B.S. in 1988 with an undergraduate thesis on heat exchanger design supervised by Octave Levenspiel. He worked at Chevron Research and Avery Dennison before receiving his M.S. and Ph.D. in robust control from the California Institute of Technology under the direction of Professor Manfred Morari. His thesis included a proof that robust control problems are NP-hard.[2] After a postdoctoral year at DuPont, he moved to the University of Illinois at Urbana-Champaign, where he rose to the position of millennium chair and professor, with positions in chemical and biomolecular engineering, electrical and computer engineering, mechanical science and engineering, bioengineering, applied mathematics, and computational science and engineering. Braatz made contributions in the areas of robust optimal control,[3][4] fault detection and diagnosis,[5][6] sheet and film processes,[7][8] and crystallization.[9]

After serving as a visiting scholar for a year at Harvard University, in 2010 he moved to MIT's department of chemical engineering,[10] where he continues research in systems and control theory and its applications.

References

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  1. ^ "National Academy of Engineering Elects 86 Members and 18 Foreign Members". NAE Website. Retrieved 2019-04-30.
  2. ^ Braatz, R.D.; Young, P.M.; Doyle, J.C. (1990), "Computational Complexity of mu calculation" (PDF), IEEE Transactions on Automatic Control, 39 (5): 1000–1002, doi:10.1109/9.284879
  3. ^ VanAntwerp, J.G.; Braatz, R.D. (2000), "A Tutorial on Linear and Bilinear Matrix Inequalities", Journal of Process Control, 10 (4): 363–385, doi:10.1016/S0959-1524(99)00056-6
  4. ^ Nagy, Z.K.; Braatz, R.D. (2003), "Robust nonlinear model predictive control of batch processes", AIChE Journal, 49 (7): 1776–1786, Bibcode:2003AIChE..49.1776N, doi:10.1002/aic.690490715
  5. ^ Chiang, L.H.; Russell, E.L.; Braatz, R.D. (2000), "Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis", Chemometrics & Intelligent Laboratory Systems, 50 (2): 243–252, doi:10.1016/S0169-7439(99)00061-1
  6. ^ Chiang, L.H.; Russell, E.L.; Braatz, R.D. (2001), Fault Detection and Diagnosis in Industrial Systems, London: Springer-Verlag
  7. ^ Hovd, M.; Braatz, R.D.; Skogestad, S. (1997), "SVD controllers for H2, H-infinity, and Mu-optimal control", Automatica, 33 (3): 433–439, doi:10.1016/S0005-1098(96)00167-7
  8. ^ Featherstone, A.P.; VanAntwerp, J.G.; Braatz, R.D. (2000), Identification and control of sheet and film processes, London: Springer-Verlag
  9. ^ Ma, D.L.; Tafti, D.K..; Braatz, R.D. (2002), "Optimal control and simulation of multidimensional crystallization processes", Computers & Chemical Engineering, 26 (7–8): 1103–1116, doi:10.1016/S0098-1354(02)00033-9
  10. ^ "Richard D. Braatz – MIT Chemical Engineering".

Sources

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