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01/30/2023
Deep networks for system identification: a Survey
Deep learning is a topic of considerable current interest. The availabil...
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09/25/2022
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator
Regularized system identification is the major advance in system identif...
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12/20/2021
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model
In this paper, we give a tutorial on asymptotic properties of the Least ...
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04/21/2021
On the Asymptotic Optimality of Cross-Validation based Hyper-parameter Estimators for Regularized Least Squares Regression Problems
The asymptotic optimality (a.o.) of various hyper-parameter estimators w...
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03/08/2021
A Crash Course on Reinforcement Learning
The emerging field of Reinforcement Learning (RL) has led to impressive ...
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03/31/2020
Deep State Space Models for Nonlinear System Identification
An actively evolving model class for generative temporal models develope...
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03/30/2020
Supplementary Material for CDC Submission No. 1461
In this paper, we focus on the influences of the condition number of the...
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03/30/2020
Supplementary Material for CDC Submission: On Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods
In this paper, we focus on the influences of the condition number of the...
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03/30/2020
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods
In this paper, we focus on the influences of the condition number of the...
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11/20/2014
