In this presentation we illustrate the application of symbolic dynamics to the problem of cyclic combustion variations in internal combustion engines. Such variations are responsible for loss in fuel efficiency and increased pollutant emissions. Using a discrete model of the combustion dynamics, we describe our algorithm for adjusting the model parameters to "match" the observed symbolic dynamics. We also find that on-line feedback engine control might be accomplished with highly discretized measurements of cycle-resolved combustion.
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Updated: 2001-05-16 ceaf