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==Winter 2021 Courses==
CDS 231 Robust Control is not offered W 2021.  Instead, I'll teach CDS 270 Robust Learning.  This will be maximally accessible to grad students and advanced undergrads. P/F only, with any units 3-12 by arrangement based on effort, from watching lecture videos to working on team projects.  Anyone with minimal coursework background in either machine learning or control will be welcome, but hopefully grad students working at the intersection will take the course as well and lead team projects. The course details will depend on who signs up, but will focus on what theory and tools are needed for a "Robust AI" particularly for mission-critical control functions in layered architectures for systems such as future smartgrid, autonomous vehicles, autonomy for space missions (with JPL), IOT network management. We'll survey the current state of the art and one focus of projects will be to find counterexamples to the most popular results.
A new theoretical framework for robust control called System Level Synthesis (SLS) is ideal not only for handling SLSDNQD (sparse, local, delayed, noisy, quantized, distributed) constraints on sense\comms\compute\actuate but also including learning and layered architectures.  An optional direction will use the course ideas to study evolution, adaptation, and learning in bio/neuro systems, from viruses to microbes, microbiomes, immune systems, cancer, brains, groups, and societies, and their interaction. Will leverage CDS alums, colleagues, and friends who are the emerging experts in "robust learning." 
[https://nikolaimatni.github.io/courses/ese680-fall2019/index.html Nikolai Matni taught a course at Penn in F 2019] that will also be a source of inspiration and material.  Lots of Caltech faculty are working on aspects of this, and we'll aim to get them for guest videos and discussions.  (But no counterexamples to Nik's or Caltech faculty results...)
The class meeting "time" won't be used, so don't worry about conflicts.  We will have asynchronous video lectures and no live lectures, and we'll hopefully find convenient times for everyone for discussions... also, I expect we'll somewhat fragment into a few groups based on background and interests for some detailed discussions, but all of that will depend on who signs up...Stay tuned for more details.
==Videos with overview of research==
==Videos with overview of research==


Aimed to be accessible to a general audience with an emphasis on neuroscience, biology, and medicine. Not much math. Almost.  
Aimed to be accessible to a general audience with an emphasis on neuroscience, biology, medicine, and tech, with new material on social architecture. Not much math. Mostly.   Everything is in this dropbox folder:


[https://www.dropbox.com/sh/7bgwzqsl7ycxhie/AABQB9L2J-XmCniwgyO3N83Ba?dl=0 Dropbox folder]
[https://www.dropbox.com/sh/7bgwzqsl7ycxhie/AABQB9L2J-XmCniwgyO3N83Ba?dl=0 '''Dropbox folder''']


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.
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.
The overarching theme is universal laws and architectures, with an emphasis on theoretical foundations, and applications to complex networks in tech, bio, neuro, med, eco, cyberphys, and societies.  Central concepts are laws/layers/levels, virtualization, robust-efficiency and speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie and hourglass, evolvability, horizontal transfer, virality, SLSDNQD (sparse, local, saturating, delayed, noisy, quantized, distributed) in sense\comms|compute/actuate control system components.
As usual, analysis is more advanced than synthesis, though progress on synthesis has been dramatic in recent years particularly due to System Level Synthesis (SLS).


==Brief Bio==
==Brief Bio==
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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.
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).  
'''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.  Control with sparse, local, delayed, saturating, quantized, uncertain sensing, communications, computing, and actuation using System Level Synthesis. 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.
'''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 (x3 1998, 1999,2021), 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 the shortest abstract in IEEE history, and fabulous friends, partner, colleagues, and students. Has held world and national records and championships in various sports, but is otherwise quite fragile.


[http://www.cds.caltech.edu/~doyle/wiki/images/a/ad/DoyleBibNIHstyle2016.pdf Old NIH Style Bio]
[https://www.dropbox.com/sh/osm40o5qm54dxkr/AAAQgbl0M78FbaZ-r5eAebmwa?dl=0 NSF Style Bio]


[http://www.cds.caltech.edu/~doyle/wiki/index.php?title=J._Doyle%27s_Bio_Athletics (Old) Athletics Bio]
[http://www.cds.caltech.edu/~doyle/wiki/index.php?title=J._Doyle%27s_Bio_Athletics (Old) Athletics Bio]


==Old Application Papers==
==Very Old Application Papers==
 
For recent theory papers see [http://www.cds.caltech.edu/~nmatni Nikolai Matni]


For fairly complete list of references see [https://scholar.google.com/citations?user=C6DtGmMAAAAJ&hl=en Google Scholar]  
For fairly complete list of references see [https://scholar.google.com/citations?user=C6DtGmMAAAAJ&hl=en Google Scholar]  
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'''Biology''': [http://www.cds.caltech.edu/~doyle/wiki/images/0/05/ScienceOnlinePDF.pdf Reverse Engineering of Biological Complexity], Csete and Doyle, ''Science'', (2002)
'''Biology''': [http://www.cds.caltech.edu/~doyle/wiki/images/0/05/ScienceOnlinePDF.pdf Reverse Engineering of Biological Complexity], Csete and Doyle, ''Science'', (2002)
*[[Papers|'''More Papers''']]
==News==
* [https://engineering.jhu.edu/gayme/people/ Dennice Gayme] (Hopkins) named Carol Linde Croft Faculty Scholar.
* [http://nali.seas.harvard.edu/ Na (Lina) Li] (Harvard) gets NSF CAREER and AFOSR YI awards.
* [http://ieor.berkeley.edu/~lavaei/Awards.html Javad Lavaei] (Berkeley) gets SIAM Control and Systems Theory Prize and AACC Eckman, and too many other awards to list.
*Old: [http://discovermagazine.com/2007/nov/this-man-wants-to-control-the-internet Discover magazine] "This man wants to control the internet" by Carl Zimmer, Discover magazine, 2008.
*Newer: [https://rigorandrelevance.wordpress.com/author/doyleatcaltech/ 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 [https://www.dropbox.com/sh/7bgwzqsl7ycxhie/AABQB9L2J-XmCniwgyO3N83Ba?dl=0# 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.
== Old talk slides ==
U Wisc Madison CS Sept 2012 [http://pages.cs.wisc.edu/~brecht/DoyleUWCSTooManySlides.pdf  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.)
[http://www.cds.caltech.edu/~doyle/wiki/images/7/76/1_DoyleSageLec1_May7_2012.pdf Lecture 1 May  7, 2012]
[http://www.cds.caltech.edu/~doyle/wiki/images/1/16/2_DoyleSageLec2_May14_2012.pdf Lecture 2 May 14, 2012]
[http://www.cds.caltech.edu/~doyle/wiki/images/8/8e/3_DoyleSageLec3_May21_2012.pdf Lecture 3 May 21, 2012]
[http://www.cds.caltech.edu/~doyle/wiki/images/b/bd/4a_DoyleSageLec4_May30_2012.pdf Lecture 4a May 30, 2012]
[http://www.cds.caltech.edu/~doyle/wiki/images/b/b7/4b_DoyleSageLec4_May30_2012.pdf Lecture 4b May 30, 2012]
[http://www.cds.caltech.edu/~doyle/wiki/images/b/b3/UnivLawsArchs.pdf  Summary: Universal laws and architectures (maybe start here)]
== Old Teaching Material ==
*[http://www.cds.caltech.edu/~doyle/wiki/images/a/a4/CDS212Lecture1.pdf  CDS 212 Lecture 1 (2012)]
*[https://www.cds.caltech.edu/wiki/index.php/CDS_212_Fall_2011 CDS 212 (Fall 2011)]
*[http://www.cds.caltech.edu/~doyle/wiki/index.php?title=CDS213 CDS 213, Robust Control (Spring 2012)]
*[http://www.cds.caltech.edu/~murray/wiki/CDS_212_Fall_2010 CDS 212, Feedback Control Theory (Fall 2010)]
*[[CDS 213|The Architecture of Robust, Evolvable Networks (Wi10)]]


== Contact ==
== Contact ==

Latest revision as of 16:47, 25 May 2022

Smallpic.JPG

John C. Doyle 道耀

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

Division of Engineering and Applied Science
California Institute of Technology


Contact

Blossoms900strip.jpg Blossoms900strip.jpg Blossoms900strip.jpg Blossoms900strip.jpg Blossoms900strip.jpg

Videos with overview of research

Aimed to be accessible to a general audience with an emphasis on neuroscience, biology, medicine, and tech, with new material on social architecture. Not much math. Mostly. Everything is in this dropbox folder:

Dropbox folder

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.

The overarching theme is universal laws and architectures, with an emphasis on theoretical foundations, and applications to complex networks in tech, bio, neuro, med, eco, cyberphys, and societies. Central concepts are laws/layers/levels, virtualization, robust-efficiency and speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie and hourglass, evolvability, horizontal transfer, virality, SLSDNQD (sparse, local, saturating, delayed, noisy, quantized, distributed) in sense\comms|compute/actuate control system components.

As usual, analysis is more advanced than synthesis, though progress on synthesis has been dramatic in recent years particularly due to System Level Synthesis (SLS).

Brief Bio

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. Control with sparse, local, delayed, saturating, quantized, uncertain sensing, communications, computing, and actuation using System Level Synthesis. 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 (x3 1998, 1999,2021), 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 the shortest abstract in IEEE history, and fabulous friends, partner, colleagues, and students. Has held world and national records and championships in various sports, but is otherwise quite fragile.

NSF Style Bio

(Old) Athletics Bio

Very Old Application Papers

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)

Contact

Mailing Address

John Doyle
California Institute of Technology
Control and Dynamical Systems, MC 107-81
1200 E. California Blvd
Pasadena, CA 91125 USA

Contact information

E-mail: doyle AT caltech dot edu
Office: 210 Annenberg,
Phone: 626.395.4808

Admin Assistant: Monica Nolasco
Office: 107 Steele,
Email: mnolasco AT caltech dot edu
Phone: 626.395.4140

Other Caltech links