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SERALAB(Demo)- Simple eigensystem realization algorithm Lab

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SERALAB(Demo)- Simple eigensystem realization algorithm Lab

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24 May 2006 (Updated )

eigensystem realization algorithm (ERA)

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Description

The eigensystem realization algorithm (ERA) was first proposed by Juang and Pappa (1985) for modal parameter identification and model reduction of linear dynamical systems and was later refined and ERA with data correlations (ERA/DC) was formulated to handle the effects of noise and nonlinearities (Juang et al., 1988).

Acknowledgements

Sgalab 1003 Beta 5.0.0.8( Matrix Varaible Inputs ) inspired this file.

MATLAB release MATLAB 7 (R14)
Other requirements None
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Comments and Ratings (3)
23 Feb 2011 Georgios Rigas

I think there is an important mistake in the ERA.m which should be taken into account.

In the 33rd line instead of:
ERA_A1=SS^(-0.5)*UU'*H1*VV*SS^(-0.5);
ERA_B1=SS^(-0.5)*VV'*EL';
ERA_G=EM*UU*SS^(-0.5);

should be:
ERA_A1=SS^(-0.5)*UU'*H1*VV*SS^(-0.5);
ERA_B1=SS^(0.5)*VV'*EL';
ERA_G=EM*UU*SS^(0.5);

Regards,
George

04 Dec 2007 Anish Chhabra  
13 Jun 2006 yiyang LI  

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