John C. Doyle
Dr. Doyle's research is on mathematical foundations for complex networks with applications in biology, technology, medicine, ecology, neuroscience, and multiscale physics that integrates theory from control, computation, communication, optimization, statistics (e.g. Machine Learning). An emphasis on universal laws and architectures, robustness/efficiency and speed/accuracy tradeoffs, adaptability, and evolvability and large scale systems with sparse, saturating, delayed, quantized, uncertain sensing, communications, computing, and actuation. Early work was on robustness of feedback control systems with applications to aerospace and process control. His students and research group developed software packages like the Matlab Robust Control Toolbox and the Systems Biology Markup Language (SBML).
Publications
- 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