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
Citations
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Journal ArticleDOI
On building local models for inverse system identification with vector quantization algorithms
TL;DR: A comprehensive performance evaluation of vector quantization (VQ) algorithms as building blocks for designing local models for inverse system identification shows that VQ-based local models perform better than the MLP in all the studied tasks.
Journal ArticleDOI
Low-Cost PEM Fuel Cell Diagnosis Based on Power Converter Ripple With Hysteresis Control
TL;DR: This paper discusses the measurement issues that arise when hysteresis current control is employed for a dc/dc boost converter, which represents the simplest solution from the implementation point of view, and therefore particularly suitable for low-cost applications.
Journal ArticleDOI
Amplitude Control of an Ultrasonic Vibration for a Tactile Stimulator
TL;DR: In this paper, the authors describe the control in a ( d-q ) frame of the vibration amplitude of a tactile stimulator based on ultrasonic vibrations, and present a new modeling approach in order to facilitate the control and to fulfill the two objectives simultaneously.
Journal ArticleDOI
On resampling and uncertainty estimation in Linear System Identification
Simone Garatti,Robert R. Bitmead +1 more
TL;DR: The utility of various methods for estimating the probability distribution of this nominal parameter using only the data from this single experiment is investigated, and some new theoretical results are proven and demonstrated for Subsampling schemes.
Posted Content
A Bayesian Approach to Sparse plus Low rank Network Identification
Mattia Zorzi,Alessandro Chiuso +1 more
TL;DR: In this paper, the problem of modeling multivariate time series with parsimonious dynamical models which can be represented as sparse dynamic Bayesian networks with few latent nodes is considered.
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.