John Doyle
Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering
Research interests: universal law and architectures in complex tech, bio, neuro, eco, and social networks. Integrating math of control, computing, communications, and multiscale physics.
Overview
Doyle's research is on theoretical foundations for complex tech, bio, med, neuro, and social networks integrating control, communications, computing, and multiscale physics. Layered architectures such as brains integrate high level planning with fast lower level sensing, reflex, and action and facilitate learning, adaptation, augmentation (tools), and teamwork, despite being implemented in energy efficient hardware with sparse, quantized, noisy, delayed, and saturating sensing, communications, computing, and actuation, on time scales from milliseconds to minutes to days. We are developing a mathematical framework that deals with all of these features and constraints in a coherent and rigorous way with broad applications in science, technology, ecology, and society.
Related News
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- Matni, Nikolai;Ames, Aaron D. et al. (2024) A Quantitative Framework for Layered Multirate Control: Toward a Theory of Control ArchitectureIEEE Control Systems
- Li, Jing Shuang;Sarma, Anish A. et al. (2023) Internal feedback in the cortical perception–action loop enables fast and accurate behaviorProceedings of the National Academy of Sciences
- Xiao, Fangzhou;Li, Jing Shuang et al. (2023) Flux exponent control predicts metabolic dynamics from network structure
- Mayalu, Michaëlle N.;Sarma, Anish et al. (2021) Systems Level Model of Dietary Effects on Cognition via the Microbiome-Gut-Brain Axis
- Nakahira, Yorie;Liu, Quanying et al. (2021) Diversity-enabled sweet spots in layered architectures and speed–accuracy trade-offs in sensorimotor controlProceedings of the National Academy of Sciences of the United States of America
- Xiao, Fangzhou;Khammash, Mustafa et al. (2021) Stability and Control of Biomolecular Circuits through Structure
- Li, Jing Shuang;Amo Alonso, Carmen et al. (2021) Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond
- Sarma, Anish A.;Sarma, Aartik et al. (2021) Control-theoretic immune tradeoffs explain SARS-CoV-2 virulence and transmission variation
- Ho, Dimitar;Le, Hoang M. et al. (2021) Online Robust Control of Nonlinear Systems with Large UncertaintyProceedings of Machine Learning Research
- Li, Jing Shuang;Sarma, Anish A. et al. (2021) Descending Predictive Feedback: From Optimal Control to the Sensorimotor System