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Visual Deterministic Classification of the States of the Controlled Object in the N-dimensional State Space

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Abstract

Proposed was a method enabling the operator supervising the controlled object to classify visually its state represented by a point in the n-dimensional Euclidean state space. The method relies on the class of nonlinear normalized maps of the points of the n-dimensional Euclidean space onto plane.

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REFERENCES

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  3. Al'shakova, E.L., Dovgal', V.M., and Zakharov, I.S., Methods of Linear and Nonlinear Mapping of the n-Dimensional Objects, Preprint of Kursk State Technical Univ., Kursk, 1997, no. 31-97.

  4. Al'shakova, E.L. and Belov, V.G., Visualization of the n-Dimensional Images by Orthogonal Projection and Nonlinear Mapping, Preprint of Kursk State Technical Univ., Kursk, 1997, no. 32-97.

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Authors and Affiliations

  1. Kursk State Technical University, Kursk, Russia

    E. L. Al'shakova, V. G. Belov, V. M. Dovgal' & I. S. Zakharov

Authors
  1. E. L. Al'shakova
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  2. V. G. Belov
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  3. V. M. Dovgal'
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  4. I. S. Zakharov
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Al'shakova, E.L., Belov, V.G., Dovgal', V.M. et al. Visual Deterministic Classification of the States of the Controlled Object in the N-dimensional State Space. Automation and Remote Control 62, 957–962 (2001). https://doi.org/10.1023/A:1010253821348

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  • DOI: https://doi.org/10.1023/A:1010253821348

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