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Book ChapterDOI

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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Citations
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Proceedings ArticleDOI

Modelling switched mode DC-DC converter using system identification techniques: A review

TL;DR: In this article, a comprehensive review of parametric and non-parametric identification techniques of switched mode power converter has been discussed, which is intended to serve as a reference towards identification aspect of switchedmode power converter.
Book ChapterDOI

A New Propagator for Two-Layer Neural Networks in Empirical Model Learning

TL;DR: A new network-level propagator based on a Lagrangian relaxation, that is solved with a subgradient algorithm, that leads to a massive reduction of the size of the search tree, which is only partially countered by an increased propagation time.
Journal ArticleDOI

A Comparative Study of Linear ARX and Nonlinear ANFIS Modeling of an Electro-Hydraulic Actuator System

TL;DR: In this paper, a linear Autoregressive with Exogenous (ARX) model and nonlinear Adaptive Neuro-Fuzzy Inference System (ANFIS) model of an EHA system are obtained based on the mathematical model of the system.
Proceedings Article

Predicting Crowd Work Quality under Monetary Interventions

TL;DR: This paper presents a series of seven models from three categories (supervised learning models, autoregressive models and Markov models) and conducts an empirical comparison on how well these models can predict crowd work quality under monetary interventions on three datasets that are collected from Amazon Mechanical Turk.
Dissertation

Contributions à l'identification de modèles paramétriques non linéaires. Application à la modélisation de bassins versants ruraux.

TL;DR: In this paper, the authors propose a method for the modelisation of relation pluie/debit in a bassin-versant-rural environment, in which the modele of the model is defined by a set of lignes de crete.
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.