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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Reverse-engineering biological networks from large data sets
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Control‐oriented LPV Modeling for the Air Supply System of Proton Exchange Membrane Fuel Cells
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System Identification of Distributory Canals in the Indus Basin
TL;DR: In this article, the authors derived channel models for regulation in irrigation canals using system identification techniques, which are computationally inexpensive and accurate for simulating water profiles; thus qualifying for addressing efficient control design problems.
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A numerical investigation of direct and indirect closed-loop architectures for estimating nonminimum-phase zeros
TL;DR: A numerical investigation of three direct architectures and three indirect architectures for identifying a plant operating in closed loop is presented, to compare the accuracy of the NMP-zero estimates obtained from each method and for each architecture.
Proceedings ArticleDOI
System identification using Hammerstein model
TL;DR: System identification applications of Hammerstein model that is cascade of nonlinear Volterra model and linear FIR model and Recursive Least Square algorithms are used to identify the Hammersteinmodel parameters.