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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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Impact of Information Exchange on Supplier Forecasting Performance
TL;DR: Considering a serially linked two-level supply chain, this work assesses the role of sharing market sales information obtained by the retailer on the supplier forecasting accuracy and finds significant evidence of benefits through information sharing with substantial improvements in forecast accuracy.
Journal ArticleDOI
Summary of Human Ankle Mechanical Impedance During Walking
TL;DR: The purpose of this short communication is to unify the results of the first two studies measuring ankle mechanical impedance in the sagittal plane during walking, where each study investigated differing regions of the gait cycle.
Book ChapterDOI
Network identification via node knock-out
TL;DR: This paper proposes a node-knockout procedure for the complete characterization of the interaction geometry in consensus-type networks, and provides an example for the utility of such a network identification process in the context of fault detection for networked systems.
Journal ArticleDOI
Noise covariance matrices in state-space models: A survey and comparison of estimation methods—Part I
TL;DR: This paper deals with the estimation of the noise covariance matrices of systems described by state‐space models and a simulation comparison using exemplary MATLAB implementations of the methods is provided.
Journal ArticleDOI
A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone
Julian King,Karl Unterkofler,Karl Unterkofler,Gerald Teschl,Susanne Teschl,Helin Koc,Hartmann Hinterhuber,Anton Amann,Anton Amann +8 more
TL;DR: The chief intention of the present modeling study is to provide mechanistic relationships for further investigating the exhalation kinetics of acetone and other water-soluble species, and is a first step towards new guidelines for breath gas analyses of volatile organic compounds, similar to those for nitric oxide.
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.