Controllability and observability covariance matrices for the analysis and order reduction of stable nonlinear systems

By J. Hahn, Thomas F. Edgar, Wolfgang Marquardt. 2003

76 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/819f6ce533dd63e40fcd12c697eb40842a215cbf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Andrija T. Sari
2. Domenico Fabio Savo
3. Uki

In Mechanical Engineering

1. Andrija T. Sari
2. Domenico Fabio Savo
3. Uki

In Statistical and Nonlinear Physics

1. Andrija T. Sari
2. Domenico Fabio Savo
3. Uki

Citations in the corpus

• Dynamic model reduction: An overview of available techniques with application to power systems (2012, methodology): “In [22, 69] controllability and observability covariance matrices have been proposed as an extension of the empirical Gramians.”