John Doyle (engineer)

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.

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	Sonja Glavaški Irene Gregory Pablo Parrilo
Website	www.cds.caltech.edu/~doyle/

Education

He earned Bachelor of Science and Master of Science degrees 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]

Career

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

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]}