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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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RKHS Embedding for Estimating Nonlinear Piezoelectric Systems

TL;DR: The theory behind the adaptive estimator is introduced and the effectiveness of this approach numerically for a class of nonlinear piezoelectric composite beams is studied.
Journal ArticleDOI

Simulation and experimental investigation of structural dynamic frequency characteristics control.

TL;DR: A new method of dynamic frequency characteristics active control (DFCAC) is presented for a flat plate, which can not only accomplish vibration control but also arbitrarily change the dynamic characteristics of the equipment.
Proceedings ArticleDOI

AR time-series identification using quantized observations.

TL;DR: An approach to AR time-series identification based on observations obtained using data acquisition system equipped with a quantizer having saturation is presented and an ARMA time- series model identification that returns parameters of ARtime-series is given.
Journal ArticleDOI

Identificación paramétrica en lazo cerrado de sistema de accionamiento neumático para cilindro de doble efecto

TL;DR: In this paper, an identificación of sistemas is presented as a strategy for construccion of modelos dinamicos complejos, proponiendo soluciones for tratar el comportamiento no-lineal de un sistema neumatico, represented by un actuador de doble efecto and un par de valvulas proporcionales for el control de la presion de alimentacion y el caudal.
Journal ArticleDOI

On the Use of Singular Vectors for the Flexibility-Based Damage Detection under the Assumption of Unknown Structural Masses

TL;DR: The main purpose of this work is to investigate the usability of easily obtainable parameters instead of the modal traditional ones, in the context of a flexibility-based damage detection procedure, under the assumption of unknown structural masses.
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.