We propose a general method based on the balanced stochastic truncation (BST) approach for the model reduction of stable linear systems. The new method relies on a recent general inner-outer factorization result and extends the applicability of the BST method to systems with infinite zeros. A computational algorithm with enhanced accuracy for the new BST model reduction approach is presented. The capabilities and advantages of the new approach are illustrated on an example.


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    Title :

    On stochastic balancing related model reduction


    Contributors:

    Conference:

    2000 ; Sydney (Australia)


    Published in:

    Publication date :

    2000-09-01


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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