International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines (ROKS): theory and applications, Leuven 2013

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

author: Tillmann Falck, Optimization in Engineering Center (OPTEC), KU Leuven
published: Aug. 26, 2013, recorded: July 2013, views: 3182

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Description

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.

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