Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
About:
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
Citations
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Journal ArticleDOI
Brief paper: Consistency of subspace methods for signals with almost-periodic components
Martina Favaro,Giorgio Picci +1 more
TL;DR: This paper proves consistency of subspace methods with purely oscillatory modes by showing a well-known subspace identification procedure based on canonical correlation analysis and approximate partial realization to be consistent under certain conditions on the purely deterministic part of the generating system.
Journal ArticleDOI
Extracting a low-dimensional predictable time series
TL;DR: This paper develops a method for projecting the time series onto a low-dimensional time-series that is predictable, in the sense that an auto-regressive model achieves low prediction error.
Posted Content
Improved PAC-Bayesian Bounds for Linear Regression
TL;DR: The PAC-Bayesian error bound for linear regression derived in Germain et al.
Proceedings ArticleDOI
Robot drives diagnostics by identifiability criterion based on state matrix
TL;DR: The identifiability conditions are considered not only in relation to the rank of the extended matrix [C, AC, ...], but also as a condition for ensuring the accuracy of the model with respect to the object.
Dissertation
Reduction of coupled field models for the simulation of electrical machines and power electronic modules
TL;DR: In this paper, the authors developed an identification method aimed at producing reduced thermal models to estimate the thermal behavior of power electronic modules, which was validated on an industrial application dealing with a thermally coupled solid/fluid problem mainly governed by forced convection.
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.