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System Identification I

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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.

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Journal ArticleDOI

Systematic Modeling of the (13C) Isotope Cryogenic Distillation Process

TL;DR: In this article, a mathematical model for the (13C) isotope cryogenic distillation process using two subsystems of the plant: the hydrodynamic part and the isotope-separation part is presented.
Proceedings ArticleDOI

On the maximum entropy property of the first-order stable spline kernel and its implications

TL;DR: An independent proof is provided that relies on the theory of matrix extension problems in the graphical model literature and leads to a closed form expression for the inverse of the first order stable spline kernel as well as to a new factorization in the form UWU with U upper triangular and W diagonal.
Proceedings ArticleDOI

Control recognition bounds for visual learning and exploration

TL;DR: It is shown that a “passive” agent can provide no guarantees on performance beyond what is afforded by the priors, and that an “omnipotent’ agent can achieve arbitrarily good performance (asymptotically).
Proceedings ArticleDOI

The Local Polynomial Method for nonparametric system identification: Improvements and experimentation

TL;DR: A modification of the LPM is proposed that takes account explicitly of constraints between the coefficients of the polynomials at neighbouring frequencies, which contributes a new and significant reduction in the Mean Square Error of the FRF estimates.
Journal ArticleDOI

Identification of Object Dynamics Using Hand Worn Motion and Force Sensors.

TL;DR: A new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips is developed and is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports.
References
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Book

System Identification: Theory for the User

Lennart Ljung
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

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

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.