Abstract
It is clear that digital signal processing is growing in importance, fulfilling functions that were once carried out exclusively by analog means. At the same time the analog point of view, as represented by neural networks and adaptive control is also developing in new directions. Prompted by these considerations, this paper attempts to put into perspective recent work on analog computing. Some basic definitions are proposed and used to classify some examples from the literature.
This work was supported in part by the National Science Foundation under Engineering Research Center Program, NSF D CDR-8803012 and by the US Army Research Office under grant DAAL03-86-K-0171, and DARPA grant AFOSR-89-0506
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Brockett, R.W. (1992). Analog and digital computing. In: Bensoussan, A., Verjus, J.P. (eds) Future Tendencies in Computer Science, Control and Applied Mathematics. INRIA 1992. Lecture Notes in Computer Science, vol 653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56320-2_65
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DOI: https://doi.org/10.1007/3-540-56320-2_65
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