Control Design for Cyberphysical Systems Using Slow Computing

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This project seeks to develop new, systematic methods for the design of control systems that can work in the presence of slow computing elements. The development of such an architecture has the possibility of providing new ways of integrating control into systems where large amounts of fast computation are not easily available, either due to limitations on power, physical size or choice of computing substrate. This project is supported by the National Science Foundation (NSF), award number 0931746.


Current participants:
  • Andrea Censi (PhD student, CDS)
  • Shuo Han (PhD student, EE)
Past participants
  • Javad Lavaei
  • Somayeh Sojoudi
  • Andrew Straw

Objectives

  • Develop an architecture for control using slow computing
  • Develop new theory and and tools for design of controller for cyberphysical systems that scale to slow computing
  • Demonstrations of the methodology on university scale experiments in micro-vehicles.

Publications

Additional Information