emgr - EMpirical GRamian Framework

version 5.99 (7 KB) by Christian
Unsupervised learning of I/O system properties for data-driven control.


Updated 13 Apr 2022

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emgr - the EMpirical GRamian framework enables the computations of empirical system gramian matrices for nonlinear and parametric systems. In system theory and control engineering, (empirical) system Gramians have applications in model reduction, decentralized control, sensitivity analysis, parameter identification or optimal placement. For more information see: https://gramian.de

Cite As

C. Himpe (2022). emgr - EMpirical GRamian Framework (Version 5.99) [Software]. https://gramian.de doi:10.5281/zenodo.6457616

MATLAB Release Compatibility
Created with R2022a
Compatible with R2017b and later releases
Platform Compatibility
Windows macOS Linux

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