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
Développement de la commande CRONE avec effet anticipatif robuste
TL;DR: In this paper, the authors propose an approach based on a commande robuste de type feedback and an action feedforward, which reduces the number of parametres of the anticipatif synthetise.
Proceedings ArticleDOI
On the controller effect in closed-loop identification for DC servomechanisms under PD control
TL;DR: This paper adresses the effect that a controller has on the parameter estimates for a closed-loop identification methodology with a DC servomechanism, and it is shown how this region is affected by the PD controller gains.
Journal ArticleDOI
Parameter Identification of Block-Oriented Nonlinear Systems in the Frequency Domain
B. Shanshiashvili,T. Rigishvili +1 more
TL;DR: Method of parameter identification in steady state at the input sinusoidal influences is proposed and the solution is reduced to the solution of the systems of algebraic equations by using the Fourier approximation.
Journal ArticleDOI
From DevOps to BizOps: Economic Sustainability for Scalable Cloud Applications
TL;DR: The goal is to reveal and formalize opportunities for economically optimal scaling that takes into account not only the cost of infrastructure but also the revenue from service delivery and eventually the profit of the service provider.
Dissertation
Dynamic equivalencing of distribution network with embedded generation
TL;DR: In this paper, an alternative methodology has been developed in order to derive the dynamic equivalent model of the distribution network using system identification, without the detailed information of the power system necessarily known.
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.