Faculty

Institution

Unit

Venue

John Doyle

Jean-Lou Chameau Professor of Control and Dynamical Systems Electrical Engineering and Bioengineering

California Institute of Technology

Affiliations

Division of Engineering and Applied Science

Electrical Engineering

John Doyle is currently serving as a Division Of Engineering And Applied Science Jean-Lou Chameau Professor of Control and Dynamical Systems Electrical Engineering and Bioengineering at California Institute of Technology.

Honors

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Experiences

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Education

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John Doyle

California Institute of Technology

Jean-Lou Chameau Professor of Control and Dynamical Systems Electrical Engineering and Bioengineering

You can click a keyword to filter the displayed items

systems engineering control systems automatic control applied mathematics electrical engineering computer science robust control control engineering control science network science control optimization machine learning stability control design wireless communications mathematical control theory congestion control nonlinear control computational biology performance evaluation control system technology design optimization engineering optimization distributed systems networked system design turbulence modeling complex systems mathematical optimization system science time delay systems optimal control internal feedback control management linear control control architecture optimization decomposition robustness analysis theoretical biology computational optimization complexity science command and control system stability power laws sensorimotor control layered architectures adaptation fractional calculus process control biological models complex biological systems robustness (computer science) control technology guidance system internet modeling realization theory convex optimization network optimization internet science internet congestion control optimized tolerance flexible structures output feedback hard limits lft systems communication delays autocatalytic networks fire ecology molecular informatics network theory adaptive control medium access control network routing algorithm network robustness biomedical modeling controller synthesis state-space solutions

Notable Scholarly Works

Notable Federal Grants

Collaborators

Diversity Deconstrains Component Limitations in Sensorimotor Control. Neural Computation (2025)

animal cognitionmotor controlneurosciencesensorimotor controlsensorimotor transformationsmotor behavior

Proliferation to Suppress Neoplasia: A General Model and a First Test in the Moon Jelly. bioRxiv (Cold Spring Harbor Laboratory) (2025)

pathologytumor biologygeneral modelsurgical pathologydevelopmental biologycarcinogenesiscancer researchtumoral pathologyfirst test

Rate-Cost Tradeoffs in Continuous-Time Control With a Biomolecular Application. IEEE Transactions on Automatic Control (2025)

systems engineeringcontrol engineeringautomatic controlcontrol optimizationcontrol systems

A Quantitative Framework for Layered Multirate Control: Toward a Theory of Control Architecture. IEEE Control Systems (2024)

Nikolai MatniAaron D. AmesJohn C. Doyle

control architecturesystems engineeringquantitative frameworklayered multirate controlcontrol systems

Towards a Theory of Control Architecture: A Quantitative Framework for Layered Multi-Rate Control. arXiv (Cornell University) (2024)

Matni, NikolaiAmes, Aaron D.Doyle, John C.

control architecturesystems engineeringquantitative frameworklayered multi-rate controlcontrol systems

Towards Re-Architecting Today's Internet for Survivability: Nsf Workshop Report. ACM SIGCOMM Computer Communication Review (2024)

Fabián E. BustamanteJohn DoyleWalter WillingerMarwan FayedDavid L. AldersonSteven LowStefan SavageHenning Schulzrinne

survivabilitycommunications systemscomputer scienceinternet computingsurvivable networktechnologynext generation internetcommunicationinformation technologyadvanced networking

Flux Exponent Control Predicts Metabolic Dynamics From Network Structure. 2022 American Control Conference (ACC) (2023)

Fangzhou XiaoJing Shuang LiJohn C. Doyle

flux exponent controlsystems biologymetabolic dynamicsnetwork sciencenetwork structure

Internal Feedback in the Cortical Perception–Action Loop Enables Fast and Accurate Behavior. Proceedings of the National Academy of Sciences (2023)

Jing Shuang LiAnish A. SarmaTerrence J. SejnowskiJohn C. Doyle

accurate behaviorperception-action loopcognitive neuroscienceneurosciencebehavioral neurosciencecortical perception-action loopinternal feedbackcognitive sciencecomputational neuroscienceneuropsychologypsychologycognition

Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns. Automatica (2023)

SooJean HanSoon-Jo ChungJohn C. Doyle

computer scienceautomatic controlmotion controlrecurrent patternspredictive controlroboticsmachine learning

Convex Robust Performance With Structured Uncertainties in System Level Synthesis. 2022 IEEE 61st Conference on Decision and Control (CDC) (2022)

Anish A. SarmaJohn C. Doyle

systems engineeringsystem level synthesiscontrol systemsconvex robust performanceconvex analysisstructured uncertainties

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John Doyle

Jean-Lou Chameau Professor of Control and Dynamical Systems Electrical Engineering and Bioengineering

California Institute of Technology

Affiliations

Division of Engineering and Applied Science

Electrical Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

John Doyle

California Institute of Technology

Jean-Lou Chameau Professor of Control and Dynamical Systems Electrical Engineering and Bioengineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Diversity Deconstrains Component Limitations in Sensorimotor Control. Neural Computation (2025)

animal cognitionmotor controlneurosciencesensorimotor controlsensorimotor transformationsmotor behavior

Proliferation to Suppress Neoplasia: A General Model and a First Test in the Moon Jelly. bioRxiv (Cold Spring Harbor Laboratory) (2025)

pathologytumor biologygeneral modelsurgical pathologydevelopmental biologycarcinogenesiscancer researchtumoral pathologyfirst test

Rate-Cost Tradeoffs in Continuous-Time Control With a Biomolecular Application. IEEE Transactions on Automatic Control (2025)

systems engineeringcontrol engineeringautomatic controlcontrol optimizationcontrol systems

A Quantitative Framework for Layered Multirate Control: Toward a Theory of Control Architecture. IEEE Control Systems (2024)

Nikolai MatniAaron D. AmesJohn C. Doyle

control architecturesystems engineeringquantitative frameworklayered multirate controlcontrol systems

Towards a Theory of Control Architecture: A Quantitative Framework for Layered Multi-Rate Control. arXiv (Cornell University) (2024)

Matni, NikolaiAmes, Aaron D.Doyle, John C.

control architecturesystems engineeringquantitative frameworklayered multi-rate controlcontrol systems

Towards Re-Architecting Today's Internet for Survivability: Nsf Workshop Report. ACM SIGCOMM Computer Communication Review (2024)

Fabián E. BustamanteJohn DoyleWalter WillingerMarwan FayedDavid L. AldersonSteven LowStefan SavageHenning Schulzrinne

survivabilitycommunications systemscomputer scienceinternet computingsurvivable networktechnologynext generation internetcommunicationinformation technologyadvanced networking

Flux Exponent Control Predicts Metabolic Dynamics From Network Structure. 2022 American Control Conference (ACC) (2023)

Fangzhou XiaoJing Shuang LiJohn C. Doyle

flux exponent controlsystems biologymetabolic dynamicsnetwork sciencenetwork structure

Internal Feedback in the Cortical Perception–Action Loop Enables Fast and Accurate Behavior. Proceedings of the National Academy of Sciences (2023)

Jing Shuang LiAnish A. SarmaTerrence J. SejnowskiJohn C. Doyle

Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns. Automatica (2023)

SooJean HanSoon-Jo ChungJohn C. Doyle

computer scienceautomatic controlmotion controlrecurrent patternspredictive controlroboticsmachine learning

Convex Robust Performance With Structured Uncertainties in System Level Synthesis. 2022 IEEE 61st Conference on Decision and Control (CDC) (2022)

Anish A. SarmaJohn C. Doyle

systems engineeringsystem level synthesiscontrol systemsconvex robust performanceconvex analysisstructured uncertainties

1
2
3
4
5
36
10 / page

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intelligent automation

autonomous driving

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University of California, Santa Barbara

dynamic network

complex system

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