Abstract
Most of the observed phenomena in every day life have dynamic components. The term dynamic refers to phenomena that produce time-changing patterns, the characteristics of the pattern at one time being interrelated with those at other times [131]. The term is nearly synonymous with time-evolution or pattern of change. It refers to the unfolding of events in a continuing evolutionary process. Examples from the daily life include home heating systems, the development of the economy, and population growth.
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© 1997 Springer-Verlag London
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Dracopoulos, D.C. (1997). Dynamic Systems and Control. In: Evolutionary Learning Algorithms for Neural Adaptive Control. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0903-7_2
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DOI: https://doi.org/10.1007/978-1-4471-0903-7_2
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