dcissim

Version 1.1 (182 KB) by Jingze You
algorithm and verify code for Discrete Combined Invariant Subspace & Subspace Identification Method

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Updated 11 Oct 2023

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published in Systems & Control Letters, DOI

a novel LTI system identification method

REQUIREMENTS:

  • the excitation (input) signal should be periodical

HIGHLIGHTS:

  1. estimate the system parameter and covariance matrices of noise altogether;
  2. use time-domain data, but as fast as frequency-domain method;
  3. only matrix operation used, easy to port into embedded environment.

Cite As

Jingze You (2023). dcissim (https://github.com/wyqy/dcissim/releases/tag/1.1), GitHub. Retrieved .

You, Jingze, et al. “Combined Invariant Subspace &Amp\Mathsemicolon Frequency-Domain Subspace Method for Identification of Discrete-Time MIMO Linear Systems.” Systems &Amp\Mathsemicolon Control Letters, vol. 181, Elsevier BV, Nov. 2023, p. 105641, doi:10.1016/j.sysconle.2023.105641.

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MATLAB Release Compatibility
Created with R2023a
Compatible with R2021a and later releases
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1

See release notes for this release on GitHub: https://github.com/wyqy/dcissim/releases/tag/1.1

1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.