Poster abstract: Physical stigmergy for decentralized constrained optimization: An intelligent lighting example

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Conventional distributed solutions for optimization problems with inseparable constraints require significant coordination between agents. Here, a novel numerical approach is described that achieves coordination via stigmergy - agents communicate indirectly through modifications of the environment. This approach is designed for optimal resource allocation problems where every solution exists on a constraint boundary; these boundaries provide the environmental cues that guide the collective motion of the distributed actuators without formal communication between them. Theoretical and experimental results validate this approach for an intelligent lighting example; despite the lack of direct coordination, Pareto-optimal allocations are stabilized. The general approach of using physical stigmergic memory may be useful in many other cyber-physical systems.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, ICCPS 2013
Number of pages1
DOIs
StatePublished - Sep 2 2013
Event4th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2013 - Philadelphia, PA, United States
Duration: Apr 8 2013Apr 11 2013

Publication series

NameProceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, ICCPS 2013

Other

Other4th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2013
CountryUnited States
CityPhiladelphia, PA
Period4/8/134/11/13

Keywords

  • Agents and autonomous systems
  • Bioinspiration
  • Distributed decentralized control
  • Optimization algorithms

ASJC Scopus subject areas

  • Computer Networks and Communications

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