What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Control theory
- Statistics
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.
His most cited work include:
- State-space solutions to standard H/sub 2/ and H/sub infinity / control problems (4968 citations)
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. (2637 citations)
- Essentials of Robust Control (2521 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (27.93%)
- Mathematical optimization (17.04%)
- Robustness (16.43%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (13.96%)
- Control theory (27.93%)
- Control (4.31%)
In recent papers he was focusing on the following fields of 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.
Between 2016 and 2021, his most popular works were:
- A System-Level Approach to Controller Synthesis (82 citations)
- System level synthesis (52 citations)
- Separable and Localized System-Level Synthesis for Large-Scale Systems (47 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Operating 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
- Class, which have a strong connection to Parametric statistics, Stability, Mechanism and Systems biology,
- Control which intersects with area such as Information theory.
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