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Proceedings Paper

Real-world applications of computational intelligence in aerospace sensing and controls: sparse, noisy, and subjective data
Author(s): Mary Lou Padgett
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Paper Abstract

Many real-world problems in aerospace sensing and controls can be approached by adding to traditional analytic techniques more information found in sparse, noisy and subjective data. Such data frequently plays a part in the modeling methodology. but formalizing its role can lead to better control and documentation ofthe system, extending its future. The combination of computational intelligence (CI) tools with the traditional system can provide techniques for appropriate generalization (or lack of it) from sparse data. Noise to be modeled or interpreted may not obviously follow a familiar distribution such as uniform, exponential. Gaussian. Raleigh, Poisson or Weibull. Many subjective decisions are made in implementing challenging data as one of the familiar distributions or in determining an appropriate empirical distribution. These problems can be successfully addressed by careful combination of artificial neural systems, fuzzy or soft systems and evolutionary systems. Recommended methodology is illustrated by examples from missile system guidance and control simulations. Expert interpretation of problem scenarios is recorded and timed to provide direction for project extensions and enhanced data visualization. Commercial applications ofthese methodologies to aerospace industry decision support systems and to biomedical control applications is discussed and illustrated. Keywords: computational intelligence, missile systems, guidance and control. artificial neural networks

Paper Details

Date Published: 22 March 1996
PDF: 6 pages
Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); doi: 10.1117/12.235914
Show Author Affiliations
Mary Lou Padgett, Auburn Univ. (United States)


Published in SPIE Proceedings Vol. 2760:
Applications and Science of Artificial Neural Networks II
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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