2011 - Fellow of the International Federation of Automatic Control (IFAC)
2004 - IEEE Control Systems Award “For fundamental contributions to theanalysis and control of uncertain systems.”
John C. Doyle focuses on Control theory, Robustness, Singular value, Mathematical optimization and Robust control. His research ties Norm and Control theory together. His work on Highly optimized tolerance as part of general Robustness study is frequently linked to Cellular basis, bridging the gap between disciplines.
His Singular value study incorporates themes from Uncertain systems, Computational complexity theory, Algorithm, Combinatorial complexity and Applied mathematics. His Mathematical optimization research includes elements of Focus, Matrix algebra, Linear matrix and Algebra. John C. Doyle studies Robust control, focusing on Linear fractional transformation in particular.
John C. Doyle spends much of his time researching Control theory, Mathematical optimization, Robustness, Control theory and Robust control. His study in Optimal control, Control system, Linear system, Nonlinear system and Transfer function is carried out as part of his studies in Control theory. His Mathematical optimization study integrates concerns from other disciplines, such as Stability, Upper and lower bounds and Convex optimization.
The concepts of his Robustness study are interwoven with issues in Complex system, Computation, Parametric statistics and Bounded function. His Control theory research is multidisciplinary, relying on both Control and State. Robust control connects with themes related to Singular value in his study.
His primary scientific interests are in Control theory, Control theory, Control, Optimal control and Robustness. John C. Doyle combines subjects such as Scalability, Linear system, Stability, State and Key with his study of Control theory. In his research, John C. Doyle undertakes multidisciplinary study on Control theory and Negative feedback.
John C. Doyle interconnects Class and Control engineering in the investigation of issues within Control. His Optimal control research is under the purview of Mathematical optimization. His Linear-quadratic-Gaussian control study in the realm of Mathematical optimization connects with subjects such as Convexity and Intelligent transportation system.
Control theory, Optimal control, Robustness, Control engineering and Scalability are his primary areas of study. John C. Doyle has researched Control theory in several fields, including Control system, Linear system, Network architecture and Topology. His studies deal with areas such as Key, Transparency and Robust control as well as Linear system.
His Optimal control research is multidisciplinary, incorporating elements of Actuator, Limit, Catalysis and Convex optimization. His research on Robustness concerns the broader Control theory. His Control engineering study also includes
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Robust and Optimal Control
State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
J.C. Doyle;K. Glover;P.P. Khargonekar;B.A. Francis.
IEEE Transactions on Automatic Control (1989)
Robust and Optimal Control
K. Zhou;J.C. Doyle;K. Glover.
Essentials of Robust Control
Kemin Zhou;John Comstock Doyle.
Feedback Control Theory
John Comstock Doyle;Bruce A. Francis;Allen R. Tannenbaum.
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
M. Hucka;A. Finney;H. M. Sauro;H. Bolouri;H. Bolouri.
Multivariable feedback design: Concepts for a classical/modern synthesis
J. Doyle;G. Stein.
IEEE Transactions on Automatic Control (1981)
Analysis of feedback systems with structured uncertainties
IEE Proceedings D Control Theory and Applications (1982)
Fire in the Earth System
David M. J. S. Bowman;Jennifer K. Balch;Jennifer K. Balch;Jennifer K. Balch;Paulo Artaxo;William J. Bond.
State-space solutions to standard H 2 and H ∞ control problems
John Doyle;Keith Glover;Pramod Khargonekar;Bruce Francis.
american control conference (1988)
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