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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Dissertation
Modélisation et commande de systèmes linéaires de micro-positionnement : application à la production de micro-composants électroniques
TL;DR: In this article, a methodologie phenomenologique for the identification of a machine of micro-bobinage is presented, in which le moteur is asservi en position par un micro-controleur, which effectue egalement l'acquisition des donnees entree-sortie.
Journal ArticleDOI
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
TL;DR: In this article, a method to jointly learn a latent state representation and the associated dynamics that is amenable for long-term planning and closed-loop control under perceptually difficult conditions is presented.
Journal ArticleDOI
Generating initial estimates for Wiener-Hammerstein systems using phase coupled multisines
TL;DR: In this article, the poles of the best linear approximation are assigned to the first or second linear block of a linear dynamic block in a Wiener-Hammerstein system with a cascaded LNL structure.
Journal Article
System Identification Based on Stepwise Regression for Dynamic Market Representation
TL;DR: The main conclusion is related to the applicability of multivariate dynamic models for representation of market systems.
Journal ArticleDOI
An Adaptive Reclosing Scheme for Preserving Dynamic Security in Low-Inertia Microgrids
TL;DR: Comprehensive simulations presented in this paper confirm effectiveness of the proposed adaptive reclosing method for restoring the interrupted feeder operation and maintaining the dynamic security within the shortest time.
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.