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Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
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Published on: January 30, 2019

Architecture, constraints, and behavior.

John C Doyle1, Marie Csete

  • 1Control and Dynamical Systems, California Institute of Technology, Pasadena, CA 91125, USA. doyle@cds.caltech.edu

Proceedings of the National Academy of Sciences of the United States of America
|July 27, 2011
PubMed
Summary
This summary is machine-generated.

This study integrates neuroscience with systems engineering and mathematics to understand complex biological and technological systems. It highlights how hidden organizational features like modularity are key to system robustness and function.

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Area of Science:

  • Neuroscience
  • Systems Engineering
  • Systems Biology
  • Mathematics

Background:

  • Sophisticated quantitative analysis of behavior in neuroscience.
  • Need for integrating diverse theoretical frameworks.

Purpose of the Study:

  • Bridge neuroscience with systems engineering, biology, and mathematics.
  • Illustrate concepts of robustness, organization, and architecture in complex networks.

Main Methods:

  • Utilizing robust control in quantitative behavioral analysis.
  • Employing case studies for conceptual illustration.

Main Results:

  • Demonstrated the centrality of robustness, organization, and architecture (modularity, protocols) for complex networks.
  • Highlighted hidden organizational features crucial for system function.

Conclusions:

  • Understanding complex biologic and technologic systems requires insight into their fundamental organizational features.
  • These features are essential for comprehending system nature, design, and function.