Hierarchical decomposition considered inconvenient: self-adaptation across abstraction layers

John C. Gallagher

doi:10.1117/12.922786

3 May 2012 Hierarchical decomposition considered inconvenient: self-adaptation across abstraction layers

John C. Gallagher

Author Affiliations +

Proceedings Volume 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI; 840202 (2012) https://doi.org/10.1117/12.922786
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

John C. Gallagher "Hierarchical decomposition considered inconvenient: self-adaptation across abstraction layers", Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 840202 (3 May 2012); https://doi.org/10.1117/12.922786

ACCESS THE FULL ARTICLE

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

CITATIONS

Cited by 1 scholarly publication.

Explore citations on Lens.org

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Oscillators

Micro unmanned aerial vehicles

Control systems

Device simulation

Motion models

Feedback control

Human-machine interfaces

Show All Keywords

RELATED CONTENT

Stochastic receding horizon control: application to an octopedal robot
Proceedings of SPIE (June 03 2013)

Adaptive state estimation based on particle filter algorithm for vehicle...
Proceedings of SPIE (December 22 2021)

Research on stability control of multi axle special vehicle based...
Proceedings of SPIE (September 07 2022)

Utah State University's T2 ODV mobility analysis
Proceedings of SPIE (July 10 2000)

Simulation and modeling for military air operations
Proceedings of SPIE (September 19 2001)

Modeling and parameter identification of an active anti-vibration system
Proceedings of SPIE (May 16 2005)

HETDEX tracker control system design and implementation
Proceedings of SPIE (September 17 2012)

Subscribe to Digital Library

Receive Erratum Email Alert

Show All Keywords

Keywords/Phrases

Search In:

Publication Years