Search Results for author: Lennart Ljung

Found 7 papers, 2 papers with code

Deep State Space Models for Nonlinear System Identification

1 code implementation31 Mar 2020 Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung

Deep state space models (SSMs) are an actively researched model class for temporal models developed in the deep learning community which have a close connection to classic SSMs.

A Crash Course on Reinforcement Learning

1 code implementation8 Mar 2021 Farnaz Adib Yaghmaie, Lennart Ljung

The emerging field of Reinforcement Learning (RL) has led to impressive results in varied domains like strategy games, robotics, etc.

reinforcement-learning Reinforcement Learning (RL)

Maximum Entropy Kernels for System Identification

no code implementations20 Nov 2014 Francesca Paola Carli, Tianshi Chen, Lennart Ljung

In this paper we show that maximum entropy properties indeed extend to the whole family of DC kernels.

Matrix Completion

Scalable Anomaly Detection in Large Homogenous Populations

no code implementations20 Sep 2013 Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry

The number of hypothesis grows rapidly with the number of systems and approximate solutions become a necessity for any problems of practical interests.

Anomaly Detection Combinatorial Optimization

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator

no code implementations25 Sep 2022 Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen

Regularized system identification is the major advance in system identification in the last decade.

Deep networks for system identification: a Survey

no code implementations30 Jan 2023 Gianluigi Pillonetto, Aleksandr Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön

For this reason, we provide a survey of deep learning from a system identification perspective.

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