Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
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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.read more
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Journal ArticleDOI
A Non-Linear Autoregressive Model for Indoor Air-Temperature Predictions in Smart Buildings
Alessandro Aliberti,Lorenzo Bottaccioli,Enrico Macii,Santa Di Cataldo,Andrea Acquaviva,Edoardo Patti +5 more
TL;DR: This paper presents an innovative methodology based on Internet-of-Things (IoT) technology for smart building indoor air-temperature forecasting that exploits a specialized Non-linear Autoregressive neural network for short- and medium-term predictions.
Journal ArticleDOI
A Sampling Theory Approach for Continuous ARMA Identification
TL;DR: An exact evaluation of the discrete-domain power-spectrum using exponential B-splines is derived and an estimation approach that is based on digitally filtering the available data is suggested, which closely follows the Cramér-Rao bound for various aliasing configurations.
Proceedings ArticleDOI
LTE Fingerprinting Localization with Altitude
TL;DR: The paper shows how to add altitude to the adaptive enhanced cell identity (AECID) fingerprinting localization method in the long term evolution (LTE) cellular system, which improves the precision of E- 911 emergency positioning in vertically extended regions like in tall buildings.
Journal ArticleDOI
Change detection in a dynamic stream of attributed networks
TL;DR: This article proposes a new methodology for modeling and monitoring dynamic attributed networks for quick detection of temporal changes in network structures using the generalized linear model (GLM) and a state transition equation to capture the dynamic behavior of the system.
Journal ArticleDOI
An enhanced linear Kalman filter EnLKF algorithm for parameter estimation of nonlinear rational models
TL;DR: An enhanced Kalman Filter formulation for linear in the parameters models with inherent correlated errors is proposed to build up a new framework for nonlinear rational model parameter estimation.
References
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Book
System Identification: Theory for the User
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
Milan Korda,Igor Mezic +1 more
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
Petre Stoica,Prabhu Babu,Jian Li +2 more
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.