Three Laws of Multivariable Feedback Systems, Extended Spectral Flatness (Extended Wiener Entropy), 'Uncertainty Principles' in Variance Minimization, and Performance Limitations in Minimum Variance Estimation/Filtering

In this paper, three laws are obtained for multiple-input multiple-output feedback systems, which are in entropy domain, frequency domain, and time domain, respectively. The system setup is that with causal plants and causal controllers. Those laws characterize the performance limitations of such systems imposed by the feedback mechanism. Some new notions are proposed to facilitate the analysis: negentropy rate, extended spectral flatness (extended Wiener entropy), Gaussianity-whiteness measure (joint Shannon-Wiener entropy), etc. Two approaches are adopted: the integrated approach and the divided approach. And 'uncertainty principles' are found in minimum variance control. Besides, performance limitations in minimum variance estimation and filtering are obtained. In the end, the special case of linear time-invariant feedback systems is discussed.

• Publication year

  2014

• Venue

  arXiv.org

• Publication date

  2014-12-01

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  arXiv 1412.1056
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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