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System Identification I

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The article was published on 2012-12-11. It has received 1704 citations till now. The article focuses on the topics: Nonlinear system identification & System identification.

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Journal ArticleDOI

Information Theoretic Causality Measures for System Identification of Mechanical Systems

TL;DR: The results show that CSE is a promising new tool for both gray-box and black-box system identification that can speed convergence toward a parameter solution and mitigate problems with model overfitting.
Posted Content

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics

TL;DR: The present paper shows that a "double-descent" curve can be observed when estimating parameters of dynamic systems, verifying such behavior experimentally both for artificially generated and real-world datasets.
Journal ArticleDOI

Efficient tests for equivalence of hidden Markov processes and quantum random walks

TL;DR: A polynomial-time algorithm is presented which can determine equivalence of two HMP parametrizations and can be used to efficiently test hidden Markov processes and quantum random walks for ergodicity.
Proceedings ArticleDOI

Building Energy Consumption On-Line Forecasting Using System Identification and Data Fusion

TL;DR: In this article, an integrated system identification and data fusion approach is proposed to develop building energy estimation models for on-line building control and optimization using an integrated System identification model has been developed based on frequency domain spectral density analysis.

Acoustic scattering behavior of a 2d flame with heat exchanger in cross-flow

TL;DR: In this paper, premixed flames with cold heat exchanger in cross-flow is a widely used configuration for heat production systems, and self-excited thermo-acoustic instabilities often occur in such systems.
References
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Book

System Identification: Theory for the User

Lennart Ljung
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI

Deep learning in neural networks

TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
Journal ArticleDOI

Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control

TL;DR: This work extends the Koopman operator to controlled dynamical systems and applies the Extended Dynamic Mode Decomposition (EDMD) to compute a finite-dimensional approximation of the operator in such a way that this approximation has the form of a linearcontrolled dynamical system.
Journal ArticleDOI

A Tour of Reinforcement Learning: The View from Continuous Control

TL;DR: The authors surveys reinforcement learning from the perspective of optimization and control, with a focus on continuous control applications, and reviews the general formulation, terminology, and techniques for reinforcement learning for continuous control.
Journal ArticleDOI

SPICE: A Sparse Covariance-Based Estimation Method for Array Processing

TL;DR: This paper presents a novel SParse Iterative Covariance-based Estimation approach, abbreviated as SPICE, to array processing, obtained by the minimization of a covariance matrix fitting criterion and is particularly useful in many- snapshot cases but can be used even in single-snapshot situations.