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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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
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.
Journal ArticleDOI
A new kernel-based approach for linear system identification
TL;DR: A new kernel-based approach for linear system identification of stable systems that model the impulse response as the realization of a Gaussian process whose statistics include information not only on smoothness but also on BIBO-stability.
Journal ArticleDOI
Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping
TL;DR: The results demonstrate that the six-degree-of-freedom trajectory of a passive spring-mounted range sensor can be accurately estimated from laser range data and industrial-grade inertial measurements in real time and that a quality 3-D point cloud map can be generated concurrently using the same data.
References
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Proceedings ArticleDOI
Identification of LPV partial differential equation models
TL;DR: The continuous space-time LPV-PDE model is firstly proposed to be rewritten as a multi-input single-output linear time-space invariant model and an iterative optimization is developed to estimate efficiently the model parameters.
Dissertation
Closed-loop Control of Ankle Plantarflexors and Dorsiflexors using an Inverted Pendulum Apparatus
TL;DR: In this paper, a closed-loop proportional-integral-derivative (PID) control strategy was used to control the ankle joint in patients with spinal cord injured individuals.
Journal ArticleDOI
UFIR-Parameteridentifikation in Echtzeit
Steffen Siegl,Ferdinand Svaricek +1 more
TL;DR: Dieses entspricht einem Least-Squares-Verfahren auf bewegtem Horizont ohne die Verwendung von Anfangsbedingungen and mit optimaler Horizontlänge für eine minimale Schätzfehlerkovarianz in Gegenwart von Parameter- and Messrauschen.
Journal ArticleDOI
Closed-Loop Identification Applied to a DC Servomechanism: Controller Gains Analysis
TL;DR: In this paper, the authors analyzed the behavior of the parameter estimates for a closed-loop identification methodology applied to a DC servomechanism with a bounded perturbation signal and a PD controller, and they showed that the estimates converge to a region whose size can be modified not only by varying the identification algorithm gains but also by modifying the P and D controller gains in a suitable way.
Journal ArticleDOI
Miniaturized heat flux sensor for high enthalpy plasma flow characterization
J. L. Gardarein,Jean-Luc Battaglia,Stefan Löhle,Pierre Jullien,Bruno van Ootegem,Jacques Couzi,Jean-Pierre Lasserre +6 more
TL;DR: In this paper, an improved miniaturized heat flux sensor is presented aiming at measuring extreme heat fluxes of plasma wind tunnel flows, which is based on an in-depth thermocouple measurement and an advanced calibration approach.