Abstract
This paper overviews a series of the authors’ recent contributions to dynamic quantizer design for control. The problem considered here is to find a dynamic quantizer such that the resulting quantized system is an optimal approximation of an ideal unquantized system.We show here a fundamental solution to this problem and briefly review several results toward real applications.
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Sugie, T., Azuma, Si., Minami, Y. (2010). Dynamic Quantization for Control. In: Willems, J.C., Hara, S., Ohta, Y., Fujioka, H. (eds) Perspectives in Mathematical System Theory, Control, and Signal Processing. Lecture Notes in Control and Information Sciences, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93918-4_11
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DOI: https://doi.org/10.1007/978-3-540-93918-4_11
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