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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Identification of stable models via nonparametric prediction error methods
TL;DR: In this paper, a new Bayesian approach to linear system identification has been proposed in a series of recent papers, which guarantees the identification of stable predictors based on the prediction error minimization.
Journal ArticleDOI
The quadratic dimensional reduction method for parameter identification
TL;DR: The QDRM extends the set of problems over which the DRM framework is applicable and effective with improved performance most prominent in problems subject to minimal noise as well as in problems whose objective surface exhibits more pronounced curvature.
Proceedings ArticleDOI
Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion
TL;DR: It is demonstrated, by application to the MCF experiment EXTRAP T2R, that MHD eigenmodes can be detected using the workhorse MIMO autoregressive exogeneous (ARX) model structure.
Proceedings ArticleDOI
A three-step identification procedure for ARARX models with additive measurement noise
TL;DR: A three-step identification procedure is described for identifying the extended ARARX model that allows to take into account the presence of both a process disturbance and an additive measurement noise.
Dissertation
Optimisation du test de production de circuits analogiques et RF par des techniques de modélisation statistique
TL;DR: In this article, the authors propose a set of methodes de test based on the modelisation statistique du circuit sous test, in which plusieurs modeles parametriques and non parametrique permettant de s'adapte a tous les types of circuit.
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.