Universal Laws and Architectures
Universal Laws and Architectures
Brains, bugs, nets, dance, art, music, literature, fashion, buildings and zombies
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This talk will focus on progress towards a more “unified” theory for complex networks motivated primarily by neuroscience, cell biology, and technology, and involving several elements: hard limits, tradeoffs, and constraints on achievable robust performance ( “laws”), the organizing principles that succeed or fail in achieving them (architectures and protocols), the resulting high variability data and “robust yet fragile” behavior observed in real systems and case studies (behavior, data), and the processes by which systems adapt and evolve (variation, selection, design). We will leverage a series of case studies from neuroscience, particularly vision and sensorimotor control, and medical physiology, particularly heart rate and other control system variability, but also cell biology, human physiology, and technology to illustrate the implications of recent theoretical developments, also drawing on hopefully more familiar and accessible examples from dance, art, music, literature, fashion, buildings, cities, law, and the recent popular obsession with zombies.
Hard limits on measurement, prediction, communication, computation, decision, and control, as well as the underlying physical energy and material conversion mechanism necessary to implement these abstract process are at the heart of modern mathematical theories of systems in engineering and science (often associated with names such as Shannon, Poincare, Turing, Gödel, Bode, Wiener, Heisenberg, Carnot,…). They form the foundation for rich and deep subjects that are nevertheless now introduced at the undergraduate level. Unfortunately, these subjects remain largely fragmented and incompatible, even as the tradeoffs between these limits are essential to understanding human physiology and neuroscience, and are of growing importance in building integrated and sustainable infrastructure and systems. We will aim for an accessible summary of how they do and don’t relate to each other, and progress and prospects for a more integrated theory. Papers and  (and references therein) are the most accessible and broad introduction while the other papers give more domain specific details.
Selected recent references:
1. Alderson DL, Doyle JC (2010) Contrasting views of complexity and their implications for network-centric infrastructures. IEEE Trans Systems Man Cybernetics—Part A: Syst Humans40:839-852.
2. Sandberg H, Delvenne JC, Doyle JC. On Lossless Approximations, the Fluctuation-Dissipation Theorem, and Limitations of Measurements, IEEE Trans Auto Control, Feb 2011.
3. Chandra F, Buzi G, Doyle JC (2011) Glycolytic oscillations and limits on robust efficiency.Science, Vol 333, pp 187-192.
4. Doyle JC, Csete ME(2011) Architecture, Constraints, and Behavior, P Natl Acad Sci USA, vol. 108, Sup 3 15624-15630.
5. Gayme DF, McKeon BJ, Bamieh B, Papachristodoulou P, Doyle JC (2011) Amplification and Nonlinear Mechanisms in Plane Couette Flow, Physics of Fluids, V23, Issue 6, 065108.
6. Page, M. T., D. Alderson, and J. Doyle (2011), The magnitude distribution of earthquakes near Southern California faults, J. Geophys. Res., 116, B12309, doi:10.1029/2010JB007933.
7. Namas R, Zamora R, An, G, Doyle, J et al, (2012) Sepsis: Something old, something new, and a systems view, Journal Of Critical Care Volume: 27 Issue: 3.
8. Chen, L; Ho, T; Chiang, M, Low S; Doyle J,(2012) Congestion Control for Multicast Flows With Network Coding, IEEE Trans On Information Theory Volume: 58 Issue: 9 Pages: 5908-5921.
John G Braun Professor of Control and Dynamical Systems, Electrical Engineer, and BioEngineering at Caltech. BS, MS EE, MIT (1977), PhD, Math, UC Berkeley (1984). Current research interests are in theoretical foundations for complex networks in engineering and biology, unifying controls, computing, communications, and physics. Emphasis on architecture, dynamics, feedback, layering, tradeoffs, evolvability. Case studies drawn from throughout technology plus cell biology, physiology, ecology, multiscale physics, neuroscience, and fashion. Early work was in the mathematics of robust control, including extensions to nonlinear and networked systems, with applications in aerospace and process control. His group contributed to the Matlab Robust Control Toolbox (for decades the premier control design software), SOSTOOLS (Nonlinear systems analysis), SBML (Systems Biology Markup Language), and FAST (Fast AQM, Scalable TCP) internet protocols. Paper prizes include IEEE Baker, IEEE Automatic Control Transactions (twice), and best conference papers in ACM Sigcomm and AACC American Control Conference. Individual awards include AACC Eckman and IEEE Control Systems Field and Centennial Outstanding Young Engineer Awards. Held national and world records and championships in various sports. Best known for having excellent co-authors, students, friends, and colleagues.