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Book ChapterDOI

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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Citations
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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

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

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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Journal ArticleDOI

Nuclear norm system identification with missing inputs and outputs

TL;DR: Experimental results show that the nuclear norm optimization approach to subspace identification is comparable to the standard subspace methods when no inputs and outputs are missing, and that the performance degrades gracefully as the percentage of missing inputs and Output increases.
Dissertation

Model on Demand: Algorithms, Analysis and Applications

TL;DR: This thesis focuses on the identification of nonlinear models, and, in particular, on stochastic models of dynamical systems that do not have a straightforward linear component.
Journal ArticleDOI

Flying Drosophila stabilize their vision-based velocity controller by sensing wind with their antennae

TL;DR: A dynamic model of the fly’s velocity regulator is obtained by fitting parameters of candidate models to experimental data and suggests that the groundspeed variability of arista-ablated flies is the result of unstable feedback oscillations caused by the delay and high gain of visual feedback.
Book

Process Modelling, Identification, and Control

TL;DR: The control problem and Design of Simple Controllers is studied and the design of simple controllers is designed to achieve optimal process control.
Journal ArticleDOI

Control of Towing Kites for Seagoing Vessels

TL;DR: The basic features of the flight control of the SkySails towing kite system are presented and the generation of dynamical flight patterns are explained.