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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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Proceedings ArticleDOI

Virtual Reference Feedback Tuning (VRFT) of velocity controller in self-balancing industrial manual manipulators

TL;DR: In this article, the authors applied Virtual Reference Feedback Tuning (VRFT) to the DC electric motor velocity controller in order to provide controller parameter tuning in a completely automatic way based on a single I/O batch measurement on the plant.
Journal ArticleDOI

Ensembles of change-point methods to estimate the change point in residual sequences

TL;DR: The ensemble of CPMs is introduced, which aggregates several estimates obtained from C PMs executed on different subsequences of residuals, obtained from random sampling, and improves the change-point estimates when the residuals are not i.i.d., as it is often the case in real-world scenarios.
Proceedings ArticleDOI

Forecasting Short-term Solar Radiation for Photovoltaic Energy Predictions.

TL;DR: An innovative methodology for short-term forecasting of Global Horizontal Solar Irradiance (GHI) based on a Non-linear Autoregressive neural network is presented and experimental results for both GHI forecast and Photovoltaic energy prediction are presented and discussed.
Proceedings ArticleDOI

Cloud Adaptation with Control Theory in Industrial Clouds

TL;DR: This work discusses a more sophisticated and robust method based on control theory for autoscaling cloud resource elasticity, and presents the design for a simple controller and how it can be applied on real cloud environments.
Journal ArticleDOI

Reconstruction of Precordial Lead Electrocardiogram From Limb Leads Using the State-Space Model

TL;DR: It was found that the reconstruction performance depended on the type of disease rather than lead type, and when ECG contaminated with the noise was used for reconstruction, the proposed method demonstrated better performance than linear regression model in general.
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.