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Home Page: https://gramian.de
License: Other
emgr -- EMpirical GRamian Framework
Home Page: https://gramian.de
License: Other
The state weighting closure (emgr.m, line 180) should be:
wei = @(m) 1.0 ./ max(sqrt(eps),vecnorm(m,2,1));
similarly emgr.py, line 212 should be:
return 1.0 / np.maximum(math.sqrt(np.spacing(1)),np.linalg.norm(m, 2, axis=0))
This will be fixed in version 5.9
Hi
Model order reduction is widely used by Control System researchers and many system dynamic tests can be applied only on the linearized model of nonlinear systems. Therefore, a function should be added that yields linearized models of the nonlinear systems.
Moreover, a utility which enables the user to use the nonlinear system in simulink for various test can enhance the usability and scope of the software.
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