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
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
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.
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Posted Content
Optimal model order reduction with the Steiglitz-McBride method for open-loop data
TL;DR: A method that connects favorable properties from the previously reviewed approaches to provide asymptotically efficient estimates of the plant with open loop data is proposed and a simulation study suggests that the proposed method is competitive with PEM and other similar methods.
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About algorithm of robust nonparametric estimation of regression function on observations
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Conjugate gradient parametric adaptive matched filter
TL;DR: The conjugate-gradient (CG) algorithm is employed to solve the linear prediction problem arising in the PAMF detector and it is shown that CG yields not only a new computationally efficient implementation of the PamF detector, but it also offers new perspectives of PAMf as a reduced-rank subspace detector.
Proceedings ArticleDOI
Model-based early gas kick and well loss detection
TL;DR: The obtained results prove that the presented solution is capable of detecting a gas kick before the gas influx reaches the surface in contrast with the widely used delta flow method capturing the kick once the gas is on the floor level.
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Using Neural Networks to Modeling Vehicle Dynamics
TL;DR: It can be concluded that the development of mathematical modeling using non-linear neural network can ensure the desired accuracy, conveniently is obtained by increasing the number of neurons in the hidden laws.