John Doyle | |
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| Alma mater | Massachusetts Institute of Technology (BS,MS) University of California, Berkeley (PhD) |
| Known for | Doyle's catch |
| 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 theCalifornia Institute of Technology. He is known for his work incontrol theory and his current research interests are in theoretical foundations forcomplex networks in engineering, biology, and multiscale physics.
He earned Bachelor of Science and Master of Science degrees in electrical engineering from theMassachusetts Institute of Technology in 1977 and aPh.D. in mathematics from theUniversity of California, Berkeley, in 1984 with his thesis titledMatrix interpolation theory and optimal control.[2]
Doyle's early work was in the mathematics ofrobust control,linear-quadratic-Gaussian control robustness, (structured) singular value analysis, andH-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]
Doyle earned theIEEE 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 AACCDonald P. Eckman Award, the 2004IEEE Control Systems Award[3][4] and the Centennial Outstanding Young Engineer Award.[citation needed]
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