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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

Analysis of Attenuation Measurements in Ocean Sediments Using Normal Incidence Chirp Sonar

TL;DR: In this paper, the theory of applying a matched filter to linear frequency modulation chirp signals for generating time compressed pulses (CPs) was described and implemented, and the matched filter technique was applied, the signal-to-noise ratio (SNR) of the CP was enhanced.
Dissertation

Contrôle acoustique actif du bruit dans une cavité fermée

TL;DR: Les contributions of cette these porte sur le controle acoustique actif (ANC) dans une cavite sur l’elaboration de differents modeles simplifies parametres par la position pour les systemes acoustiques and sur the conception of lois de commande pour l”ANC.
Journal ArticleDOI

Modeling of Environmental Effects for Vibration-Based SHM Using Recursive Stochastic Subspace Identification Analysis

TL;DR: In this paper, the covariance-driven recursive stochastic subspace identification (RSSI-COV) algorithm is applied to extract the system dynamic characteristics from on-going measurements.
Posted Content

Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads

TL;DR: This work proposes a distributed control solution, which consists of a central load aggregator that optimizes system-level objectives and building-level controllers that track the load profiles planned by the aggregator.
Journal ArticleDOI

Identification of EIV models by compensated PEM

TL;DR: It is proved that the identification of the errors-in-variables models based on the proposed approach could result in an unbiased estimation in the presence of independent colour noises on the input and output data with adequate accuracy and mediocre complexity.
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.