Share Email Print
cover

Proceedings Paper

Hierarchical decomposition considered inconvenient: self-adaptation across abstraction layers
Author(s): John C. Gallagher
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Hierarchy may be difficult, if not impossible, to avoid either in natural or artificially engineered systems. Nevertheless, hierarchical decomposition can be considered inconvenient in a number of ways that interfere with the construction of adaptive systems capable of full exploitation of unexpected opportunities in an operational environment. This paper will briefly review some of those inconveniences and suggest principles by which to circumvent them while maintaining the obviously beneficial, and perhaps inevitable, paradigm of hierarchical decomposition of engineering designs. The paper will illustrate the introduced principles by appeal to an example auto-adaptive flight controller for an insect-scale flapping-wing micro air vehicle. The paper will conclude with discussion of possible future applications and methodological extensions.

Paper Details

Date Published: 3 May 2012
PDF: 10 pages
Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 840202 (3 May 2012); doi: 10.1117/12.922786
Show Author Affiliations
John C. Gallagher, Wright State Univ. (United States)


Published in SPIE Proceedings Vol. 8402:
Evolutionary and Bio-Inspired Computation: Theory and Applications VI
Olga Mendoza-Schrock; Mateen M. Rizki; Todd V. Rovito, Editor(s)

© SPIE. Terms of Use
Back to Top