John C. Doyle 道耀
Videos with overview of research
Aimed to be accessible to a general audience with an emphasis on neuroscience, biology, and medicine. No math. Almost. See the subfolder 0.Intro2Research&241 in
It's not very well organized but there are a variety of subfolders with videos, slides, and papers. Download the videos or they will run in preview mode and terminate early.
In Spring 2018 I'll teach CDS 241 which looks broadly at a variety of case studies in complex networks. Current plan is to put the videos for this course in 0.Intro2Research&241 with weekly in class material in 1.NewCDS241inClass.
John Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineer, and BioEngineering at Caltech, and received the BS&MS in EE, MIT (1977), and PhD in Math, UC Berkeley (1984)). He was a consultant at Honeywell Systems and Research Center from 1976 to 1990.
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).
Prizes, awards, records, championships include the 1990 IEEE Baker Prize (for all IEEE publications), also listed in the world top 10 “most important" papers in mathematics 1981-1993, IEEE Automatic Control Transactions Award (twice 1998, 1999), 1994 AACC American Control Conference Schuck Award, 2004 ACM Sigcomm Paper Prize and 2016 “test of time” award, and inclusion in Best Writing on Mathematics 2010. Individual awards include 1977 IEEE Power Hickernell, 1983 AACC Eckman, 1984 UC Berkeley Friedman, 1984 IEEE Centennial Outstanding Young Engineer (a one-time award for IEEE 100th anniversary), and 2004 IEEE Control Systems Field Award. Best known for fabulous friends, partner, colleagues, and students. Has held world and national records and championships in various sports, but is otherwise quite fragile.
Somewhat Recent Application Papers
For recent theory papers see Nikolai Matni
For fairly complete list of references see Google Scholar
Neuroscience and Machine Learning : Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings Das, Sampson, Lainscsek, Muller, Lin, Doyle, Cash, Halgren, Sejnowski, Neural Computation, 2017
Education and Neuroscience: Tutorial on education for Conference on Decision and Control, 2016
Medicine: Robust efficiency and actuator saturation explain healthy heart rate control and variability Li, Cruz, Chien, Sojoudi, Recht, Stone, Csete, Bahmiller, Doyle (2014), P Natl Acad Sci USA 111 (33)
Medicine: Sepsis: Something Old, Something New, and a Systems View J Crit Care. (2012)
Universal architectures: Architecture, constraints, and behavior, JC Doyle, MC Csete, P Natl Acad Sci USA, vol. 108, Sup 3 15624-15630
Biology: Gycolytic oscillations and limits on robust efficiency, FA Chandra, G Buzi, JC Doyle Science 333(6039):187-192, July 2011
Turbulence: Amplification and nonlinear mechanisms in plane Couette flow., D Gayme, B McKeon, B Bamieh, A Papachristodolou, and J Doyle. Physics of Fluids v23:6:065108 (2011)
Biology: Analysis of autocatalytic networks in biology, G Buzi, U Topcu, J Doyle, Automatica 47:1123-1130 (2011)
Earthquakes: The magnitude distribution of earthquakes near Southern California faults Page, Alderson, and Doyle JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116, (2011)
Physics: On Lossless Approximations, the Fluctuation-Dissipation Theorem, and Limitations of Measurements, H Sandberg, JC Delvenne, JC Doyle, IEEE Trans Auto Control, v56:2, 293-308 (2011)
Wireless: Cross-layer design in multihop wireless networks, L Chen, SH Low, and JC Doyle, Computer Networks 55:480–496 (2011)
Circuits: Solving Large-Scale Hybrid Circuit-Antenna Problems Lavaei, Babakhani, Hajimiri and Doyle, IEEE Transactions on Circuits and Systems I, vol. 58, no. 2, pp. 374-387, Feb. 2011.
Complexity: Contrasting Views of Complexity and Their Implications For Network-Centric Infrastructures Alderson and Doyle, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 40, NO. 4, JULY 2010
Internet: Mathematics and the Internet: A Source of Enormous Confusion and Great Potential Willinger, Alderson, and Doyle, Notices of the AMS Volume 56, Number 5 (2009)
Fire: Fire in the Earth System, Science 324, 481 (2009)
Biology: Robustness of Cellular Functions, Stelling, Sauer, Szallasi, Doyle, and Doyle, Cell, 2004
Biology: Reverse Engineering of Biological Complexity, Csete and Doyle, Science, (2002)
Fall 2017 CDS 231 New Control Course
For last spring's course: See CDS 270 Course details (Spring 2017) for more
The aims of CDS 231 are similar to CDS 270 (Sp 2017) but with more emphasis on math details, and less on motivating case studies.
Aims: Complex tech, bio, neuro, med, eco, and socio-econ networks have both strikingly universal shared architectural features and constraining "laws" but with extremely different domain specific details. The first half of the course will use familiar case studies to motivate a new mathematical framework for understanding these similarities and differences, emphasizing layering, dynamics, optimization, nonlinearity, learning, communications, and control, sparsity and structure, and tradeoffs between robustness, efficiency, and evolvability. Lectures will primarily be by video with class time devoted to discussions and lots of live demos and games involving audience participation. The second half of the term will be a fast review of core theory in robust and optimal control and a bit of nonlinear using SOSTOOLS.
To get started on the videos, and reading material, see the subfolder New_CDS231 in the dropbox folder:
See Course details for more details on 231 (nothing there yet).
- Dennice Gayme (Hopkins) named Carol Linde Croft Faculty Scholar.
- Na (Lina) Li (Harvard) gets NSF CAREER and AFOSR YI awards.
- Javad Lavaei (Berkeley) gets SIAM Control and Systems Theory Prize and AACC Eckman, and too many other awards to list.
- Old: Discover magazine "This man wants to control the internet" by Carl Zimmer, Discover magazine, 2008.
- Newer: Blog and new videos Follow link to dropbox folder with accessible introductory videos and case studies in neuroscience, cell biology, and medical physiology. Our you can go directly to the dropbox folder or see above video lists.
Please download the .mp4 files from the dropbox, otherwise they will run in preview mode, which limits the time.
Not very recent talk slides
U Wisc Madison CS Sept 2012 pdf
UCSB Sage lectures, May 2012. (These are pdf files. Ask me for the ppt if you want to steal anything. I would be very flattered.)
Old Teaching Material
- CDS 213, Robust Control (Spring 2012)
- CDS 212, Feedback Control Theory (Fall 2010)
- The Architecture of Robust, Evolvable Networks (Wi10)
E-mail: doyle AT caltech dot edu
Admin Assistant: Monica Nolasco