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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

Vehicle model identification by integrated prediction error minimization

TL;DR: This work calibrates models of odometry, powertrain dynamics, and wheel slip as it affects body frame velocity and demonstrates its usefulness for the calibration of wheeled vehicle models used in control and estimation.
Journal ArticleDOI

Modeling and control of tubular solid-oxide fuel cell systems. I: Physical models and linear model reduction

TL;DR: In this paper, the authors describe the development of a transient model of an anode-supported, tubular solid-oxide fuel cell (SOFC), which is designed with process-control applications in mind, although it can certainly be applied more widely.
Journal ArticleDOI

Mean-Square Deviation Analysis of Multiband-Structured Subband Adaptive Filter Algorithm

TL;DR: A new approach to the mean-square deviation (MSD) analysis of the MSAF algorithm is presented by using the persistently exciting input and the practical assumption that the stopband attenuation of the prototype filter is high.
Journal ArticleDOI

Minimum Total Error Entropy Method for Parameter Estimation

TL;DR: A total error entropy criterion (TEEC) and a corresponding method, which additionally considers the existence of noise in input data, which achieves superior performance comparing to the TLS and MEE, when the noise is non-Gaussian.
Proceedings ArticleDOI

Online nonlinear identification of the effect of drugs in anaesthesia using a minimal parameterization and BIS measurements

TL;DR: A new MISO Wiener model with only four parameters is proposed to model the effect of the joint administration of the hypnotic propofol and the analgesic remifentanil, when jointly administered to patients undergoing surgery.
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.