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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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