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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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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

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.
Journal ArticleDOI

A new kernel-based approach for linear system identification

TL;DR: A new kernel-based approach for linear system identification of stable systems that model the impulse response as the realization of a Gaussian process whose statistics include information not only on smoothness but also on BIBO-stability.
Journal ArticleDOI

Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping

TL;DR: The results demonstrate that the six-degree-of-freedom trajectory of a passive spring-mounted range sensor can be accurately estimated from laser range data and industrial-grade inertial measurements in real time and that a quality 3-D point cloud map can be generated concurrently using the same data.
References
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Proceedings ArticleDOI

Optimally weighted music algorithm for frequency estimation of real harmonic sinusoids

TL;DR: An optimally weighted harmonic multiple signal classification (OW-HMUSIC) estimator is devised by making use of the subspace technique and Markov-based eigenanalysis to address the problem of fundamental frequency estimation for real harmonic sinusoids.
Journal ArticleDOI

Output-only identification of input–output models

TL;DR: This paper introduces transmissibility-based system identification (TBSID), which uses estimates of two transmissibilities to identify the complete dynamics from two unmeasured inputs to two measured outputs.
Journal ArticleDOI

Bayesian identification of electromechanical properties in piezoelectric energy harvesters

TL;DR: The model updating of the electro-mechanical properties of Piezoelectric Energy Harvesters using experimental data within a Bayesian inference setting is discussed, offering an elegant approach to calibrate PEH numerical/analytical model or identify variability trends for the PEH manufacturing process.
Journal ArticleDOI

Explaining COVID-19 outbreaks with reactive SEIRD models.

TL;DR: This work seeks to explain the diversity in epidemic progressions by considering an extension to the compartmental SEIRD model, which uses a neural network to predict the infection rate as a function of time and of the prevalence of the disease.
Proceedings ArticleDOI

Experimental study of economic model predictive control in building energy systems

TL;DR: This paper presents results from testing an economic model predictive control strategy in an office building located in Milwaukee, Wisconsin, USA, that was successful at reducing energy costs compared to the baseline case for the considered building.