John Doyle (engineer)
| John Doyle | |
|---|---|
| Institutions | California Institute of Technology |
| Alma mater |
MIT University of California, Berkeley |
| Thesis | Matrix interpolation theory and optimal control (1984) |
| Doctoral advisor | Donald Erik Sarason[1] |
|
Website www | |
John Comstock Doyle is the John G Braun Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology (Caltech). He has a BS and MS in EE, MIT (1977), and a PhD, Math, University of California, Berkeley (1984) with thesis titled Matrix interpolation theory and optimal control.[2] He is well 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.
Early work was in the mathematics of robust control, LQG robustness, (structured) singular value analysis, H-infinity plus recent extensions. He coauthored books and software toolboxes currently used at over 1,000 sites worldwide, the main control analysis tool for high performance commercial and military aerospace systems, as well as many other industrial systems. Prize papers include the IEEE W.R.G. Baker Prize Paper Award (1991), the IEEE Automatic Control Transactions Axelby (twice), and the AACC Schuck. Individual awards include the AACC Eckman, the 2004 IEEE Control Systems Award[3][4] and the Centennial Outstanding Young Engineer Award.
References
- ↑ John Doyle at the Mathematics Genealogy Project
- ↑ "MATRIX INTERPOLATION THEORY AND OPTIMAL CONTROL". ProQuest. Retrieved 7 January 2014.
- ↑ "IEEE Control Systems Award Recipients" (PDF). IEEE. Retrieved March 30, 2011.
- ↑ "IEEE Control Systems Award". IEEE Control Systems Society. Retrieved March 30, 2011.