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John Doyle
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Home  /  People  /  John Doyle

John Doyle

Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering
B.S., M.S., Massachusetts Institute of Technology, 1977; Ph.D., University of California, 1984. Visiting Assistant Professor of Electrical Engineering, Caltech, 1985; Visiting Associate Professor, 1986; Visiting Associate in Chemistry, 1986-87; Associate Professor of Electrical Engineering, 1987-91; Professor, 1991-2001; Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering, 2002-04; Braun Professor, 2004-08; 2009-13; Jean-Lou Chameau Professor, 2013-.
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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

Louise Schul Receives 2022 Henry Ford II Scholar Award
Wang, Matni, and Doyle Win Axelby Outstanding Paper Award
Biological Circuits: A Beginner's Guide
Ray Sun Receives 2019 Henry Ford II Scholar Award
Ethan Pronovost Receives 2018 Henry Ford II Scholar Award
Deep Learning Networks and Sensorimotor Control
IEEE American Control Conference Best Student Paper Award
Professor Doyle Receives Test of Time Paper Award
Next-Generation Distribution Infrastructure
Variability Keeps The Body In Balance
Read more news   >

Publications

View more publications on feeds.library.caltech.edu

Related Courses

2022-23
CDS 141 – Network Control Systems
CDS 231 – Robust Control Theory
2021-22
CDS 141 – Network Control Systems
2020-21
CDS 141 – Network Control Systems
CDS 231 – Robust Control Theory
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