Many systems are difficult to control by conventional means because of the complexity of the very fabric of their being. Some systems perform very well under some conditions and then burst into wild, maybe even chaotic, oscillations for no apparent reason. Such systems exist in bioreactors, electro-plating and other application domains. In these cases a model may not exist that can be trusted to accurately replicate the dynamics of the real-world system. BOXES is a well known methodology that learns to perform control maneuvers for dynamic systems with only cursory a priori knowledge of the mathematics of the system model. A limiting factor in the BOXES algorithm has always been the assignment of appropriate boundaries to subdivide each state variable into regions. In addition to suggesting a method of alleviating this weakness, the paper shows that the accumulated statistical data in near neighboring states may be a powerful agent in accelerating learning, and may eventually provide a possible evolution to self-organization.
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ASME 7th Biennial Conference on Engineering Systems Design and Analysis
July 19–22, 2004
Manchester, England
ISBN:
0-7918-4175-8
PROCEEDINGS PAPER
On the Control of Dynamically Unstable Systems Using a Self Organizing Black Box Controller Available to Purchase
David W. Russell
David W. Russell
Penn State Great Valley, Malvern, PA
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David W. Russell
Penn State Great Valley, Malvern, PA
Paper No:
ESDA2004-58290, pp. 689-697; 9 pages
Published Online:
November 11, 2008
Citation
Russell, DW. "On the Control of Dynamically Unstable Systems Using a Self Organizing Black Box Controller." Proceedings of the ASME 7th Biennial Conference on Engineering Systems Design and Analysis. Volume 3. Manchester, England. July 19–22, 2004. pp. 689-697. ASME. https://doi.org/10.1115/ESDA2004-58290
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