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Solution of the Nonparametric Identification Equation in a Dynamic System Based on the Hyperdelta Approximation

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Abstract

This paper is devoted to the method for defining the weight function in a dynamic system based on the hyperdelta approximation of autocorrelation and cross-correlation functions of random input and output signals with arbitrary distributions, as well as on the Laplace transform. The results can be used to perform nonparametric identification of the dynamic systems within the constraints on the computing resources and to measure the input and output signals.

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Funding

This study was conducted within the framework of a research project on assessing the future evolution of robotic systems and technologies. It was initiated by the Federal State Autonomous Institution, Military Innovation Technopolis ERA.

I thank the Main Directorate of Scientific Studies and Engineering Support of Advanced Technologies (Innovative Research) of the Russian Ministry of Defense for support in carrying out these studies.

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Authors and Affiliations

  1. Military Innovation Technopolis ERA, Anapa, Krasnodar krai, Russia

    Ya. N. Gusenitsa

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  1. Ya. N. Gusenitsa
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Correspondence to Ya. N. Gusenitsa.

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Translated by N. Bogacheva

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Gusenitsa, Y.N. Solution of the Nonparametric Identification Equation in a Dynamic System Based on the Hyperdelta Approximation. J. Mach. Manuf. Reliab. 51, 80–85 (2022). https://doi.org/10.3103/S1052618821060091

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  • DOI: https://doi.org/10.3103/S1052618821060091

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