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A statistical learning approach to subspace identification of dynamical systems
Published on Feb 25, 20076738 Views
Among the different approaches to identification of linear dynamical systems, subspace identification has become increasingly popular in the last decade. The reasons are the algorithmic simplicity tha
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A statistical learning approach to subspace identification of dynamical systems00:00
Warning! work in progress…00:07
Overview00:16
Dynamical systems00:57
Dynamical systems01:40
State space representation02:28
State space representation03:22
State space representation03:56
State space representation04:34
Overview05:37
Subspace identification for linear systems06:01
Subspace identification for linear systems07:23
Subspace identification for linear systems08:06
Subspace identification for linear systems09:03
Subspace identification for linear systems10:21
Subspace identification for linear systems11:04
Subspace identification for linear systems11:08
Subspace identification for linear systems11:10
Subspace identification for linear systems12:15
Subspace identification for linear systems12:18
Overview12:57
Regularized subspace identification13:00
Regularized subspace identification13:28
Overview14:01
Kernel version for nonlinear systems14:05
Kernel version for nonlinear systems15:24
Kernel version for nonlinear systems15:54
Overview16:35
Preliminary experiments16:38
Further work17:07
Thanks!18:06