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Kernel Based Identification of Systems with Multiple Outputs Using Nuclear Norm Regularization

Kernel Based Identification of Systems with Multiple Outputs Using Nuclear Norm Regularization

This video was recorded at International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines (ROKS): theory and applications, Leuven 2013. This contribution introduces a novel identification scheme for nonlinear systems with multiple outputs based on nuclear norm regularization. A kernel based formulation is derived in a primal-dual setting. Then the model representation in terms of the kernel function is established.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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