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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Dissertation
On the structure and use of process models and their interplay
TL;DR: In this article, the authors present a list of figures, tables, and original publications from the 1990s and 2000s, with acknowledgements, tables and references to the authors.
Real-time dynamic model learning and adaptation for Underwater Vehicles
Joshua D. Weiss,Noel E. Du Toit +1 more
TL;DR: In this article, a method to learn a dynamic model for a hovering-class UAV in real time from motion and position measurements is presented, where system identification techniques are employed to estimate equations of motion coefficients.
Journal ArticleDOI
Self-weighted recursive estimation of GARCH models
Radek Hendrych,Tomáš Cipra +1 more
TL;DR: The aims of this contribution are to review the previously introduced recursive estimation algorithms and to derive self-weighted alternatives applying general recursive identification instruments, and to examine these methods by means of simulations and an empirical application.
Journal ArticleDOI
Recursive identification of multivariable ARX models in the presence of a priori information
TL;DR: The considered recursive algorithm is robust with respect to the uncertainty of statistical characteristics of disturbances and has the increased convergence speed in initial iterations, formulated theorem for convergence of estimated parameters with probability one.
Journal ArticleDOI
Inside sales agent’s sales activities influence on work outcomes and sales agent tenure through autonomous motivation
Richard Conde,Victor R. Prybutok +1 more
TL;DR: In this article, the authors assess the effect of sales activities on sales performance and sales agent engagement on sales agent tenure through the lens of autonomous motivation to better understand sales activities as an overall sales process antecedent.