Control Design for Cyberphysical Systems Using Slow Computing: Difference between revisions

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* {{Andrea Censi}}
* {{Andrea Censi}}
* {{Shuo Han}}
* {{Shuo Han}}
* Javad Lavaei
* Somayeh Sojoudi
* Somayeh Sojoudi
| Past participants
| Past participants
* Javad Lavaei
* Andrew Straw
* Andrew Straw
|}
|}

Revision as of 17:09, 26 November 2011

Slowncs-arch.png

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)
  • Somayeh Sojoudi
Past participants
  • Javad Lavaei
  • 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