Book ChapterDOI
System Identification I
Biao Huang,Yutong Qi,Akm Monjur Murshed +2 more
- pp 31-56
Reads0
Chats0
About:
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
Citations
More filters
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
More filters
Journal ArticleDOI
A Dynamic Parameter Identification Method for Flexible Joints Based on Adaptive Control
TL;DR: The experimental results indicate that the proposed dynamic parameter identification method possesses better estimation accuracy than the general RLS- and integral-based methods and can provide accurate estimation even under a relatively low-resolution system.
Journal ArticleDOI
How to Calibrate Your Adversary's Capabilities? Inverse Filtering for Counter-Autonomous Systems
TL;DR: Given measurements of the actions of a sophisticated autonomous adversary, how can the authors' counter-autonomous system estimate the underlying belief of the adversary, predict future actions and therefore guard against these actions?
Journal ArticleDOI
Parameter tracking with partial forgetting method
TL;DR: In this article, a Bayesian tracking of slowly varying parameters of a linear stochastic regression model is proposed, where the modelled and predicted system output is assumed to possess time-varying mean value, whereas its dynamics are relatively stable.
Journal ArticleDOI
Acoustic thoracic image of crackle sounds using linear and nonlinear processing techniques.
Sonia Charleston-Villalobos,Guadalupe Dorantes-Méndez,Ramón González-Camarena,G. Chi-Lem,José G. Carrillo,T. Aljama-Corrales +5 more
TL;DR: It is concluded that a confident image of crackle sounds distribution by crackles counting using TVAR on the thoracic surface is thoroughly possible and might represent an aid to the clinical evaluation of pulmonary diseases that produce this sort of adventitious discontinuous lung sounds.
Journal ArticleDOI
Review: Recent progress on variable projection methods for structured low-rank approximation
TL;DR: This paper gives an overview of recent progress in efficient local optimization algorithms for solving weighted mosaic-Hankel structured low-rank approximation problems.