John Doyle (engineer)
John Doyle | |
|---|---|
| Alma mater | Massachusetts Institute of Technology (BS, MS) University of California, Berkeley (PhD) |
| Scientific career | |
| Institutions | California Institute of Technology |
| Thesis | Matrix interpolation theory and optimal control (1984) |
| Doctoral advisor | Donald Sarason[1] |
| Doctoral students | |
| Website | www |
John Comstock Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology. He is known for his work in control theory and his current research interests are in theoretical foundations for complex networks in engineering, biology, and multiscale physics.
Education
[edit]He earned a B.S. and an M.S. in electrical engineering from the Massachusetts Institute of Technology in 1977 and a Ph.D. in Mathematics from the University of California, Berkeley, in 1984 with his thesis titled Matrix interpolation theory and optimal control.[2]
Work
[edit]Doyle's early work was in the mathematics of robust control, linear-quadratic-Gaussian control robustness, (structured) singular value analysis, and H-infinity methods. He has co-authored books and software toolboxes, and a control analysis tool for high performance commercial and military aerospace systems, as well as other industrial systems.[citation needed]
Awards
[edit]Doyle earned the IEEE W.R.G. Baker Prize Paper Award (1991), the IEEE Automatic Control Transactions Axelby Award twice, and the AACC Schuck award. He also has been awarded the AACC Donald P. Eckman Award, the 2004 IEEE Control Systems Award[3][4] and the Centennial Outstanding Young Engineer Award.[citation needed]
References
[edit]- ^ John Doyle at the Mathematics Genealogy Project
- ^ "MATRIX INTERPOLATION THEORY AND OPTIMAL CONTROL". Retrieved 7 January 2014 – via ProQuest.
- ^ "IEEE Control Systems Award Recipients" (PDF). IEEE. Retrieved March 30, 2011.
- ^ "IEEE Control Systems Award". IEEE Control Systems Society. Archived from the original on December 29, 2010. Retrieved March 30, 2011.
External links
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