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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Journal ArticleDOI
Characterization of radiofrequency ablation lesion development based on simulated and measured intracardiac electrograms.
Matthias W. Keller,Steffen Schuler,Mathias Wilhelms,Gustavo Lenis,Gunnar Seemann,Claus Schmitt,Olaf Dössel,Armin Luik +7 more
TL;DR: A simulation approach for acute RFA lesions is established to enable the development of further EGM criteria for transmural lesions even for complex geometries in order to support clinical therapy.
Journal ArticleDOI
Characterization and Application of a Pseudorandom Impulse Sequence for Parameter Estimation Applications
TL;DR: The novel concept of a bipolar pseudorandom impulse sequence (PRIS) as a wideband perturbation signal for in situ application in the power applications is proposed and it is shown that the PRIS can be generated using a compact and efficient design with highly reduced average power losses.
Journal ArticleDOI
Constructive state space model induced kernels for regularized system identification
Tianshi Chen,Lennart Ljung +1 more
TL;DR: This contribution introduces a new family of kernel structures based on state space models that has more flexible and more general structure, and includes some of stable spline kernels and diagonal correlated kernels as special cases.
Proceedings ArticleDOI
Closed Loop System Identification of a DC Motor using Fractional Order Model
Pritesh Shah,Ravi Sekhar +1 more
TL;DR: Results show that fractional order models fit better than first order integer model and among the four fractional models identified, the fractional model with least parameters yielded best result.
Journal ArticleDOI
An Instrumental Variable Vector-Fitting Approach for Noisy Frequency Responses
A. Beygi,Anestis Dounavis +1 more
TL;DR: In this article, an efficient methodology to improve the convergence properties of vector fitting (VF) when the frequency data is contaminated by noise is presented. But this method is not suitable for the case of noisy data and does not increase the computational complexity of the algorithm.