Biological analogs and emergent intelligence for control of stratospheric balloon constellations

Matthew Kuperus Heun, R. Stephen Schlaifer, Kim Aaron, Alexey Pankine, Kerry Nock, Naomi Erich Leonard, Edward Belbruno, Pradeep Bhatta

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Global Aerospace Corporation is developing a revolutionary concept for a global constellation and network of hundreds of stratospheric superpressure balloons. Global Aerospace Corporation and Princeton University are studying methods of controlling the geometry of these stratospheric balloon constellations using concepts related to and inspiration derived from biological group behavior such as schooling, flocking, and herding. The method of artificial potentials determines control settings for trajectory control systems in the steady flow regions. Weak Stability Boundary theory is used to (a) determine the interfaces between smooth flow and areas where chaotic conditions exist and (b) calculate control settings in regions of chaotic flow.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsWalt Truszkowski, Mike Hinchey, Chris Rouff
PublisherSpringer Verlag
Pages393-407
Number of pages15
ISBN (Print)9783540451730
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2564
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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