Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers
Joint Authors
Boddhu, Sanjay K.
Gallagher, John C.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-30
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Information Technology and Computer Science
Abstract EN
In the previous work, it was demonstrated that one can effectively employ CTRNN-EH (a neuromorphic variant of EH method) methodology to evolve neuromorphic flight controllers for a flapping wing robot.
This paper describes a novel frequency grouping-based analysis technique, developed to qualitatively decompose the evolved controllers into explainable functional control blocks.
A summary of the previous work related to evolving flight controllers for two categories of the controller types, called autonomous and nonautonomous controllers, is provided, and the applicability of the newly developed decomposition analysis for both controller categories is demonstrated.
Further, the paper concludes with appropriate discussion of ongoing work and implications for possible future work related to employing the CTRNN-EH methodology and the decomposition analysis techniques presented in this paper.
American Psychological Association (APA)
Boddhu, Sanjay K.& Gallagher, John C.. 2012. Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-492024
Modern Language Association (MLA)
Boddhu, Sanjay K.& Gallagher, John C.. Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-21.
https://search.emarefa.net/detail/BIM-492024
American Medical Association (AMA)
Boddhu, Sanjay K.& Gallagher, John C.. Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-492024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492024