Use of the quantum entropy of non-probabilistic matrices in automatic control
作者:
GUY JUMARIE,
期刊:
International Journal of Systems Science
(Taylor Available online 1993)
卷期:
Volume 24,
issue 12
页码: 2271-2287
ISSN:0020-7721
年代: 1993
DOI:10.1080/00207729308949628
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The quantum mechanical entropy of density matrices defined by Von Neumann in quantum physics has been generalized in the form of quantum entropy of non-probabilistic matrices, and it is shown that the latter can be of some use in automatic control. This quantum entropy can be thought of as a measure of structure complexity and its application is quite relevant and meaningful in the following topics: stability of linear and non-linear systems, robustness and order reduction. Quantum entropy appears to be a new weighted combination of eigenvalues which would allow us to re-examine some problems with new points of view relating to information theory without probability.
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