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.
References
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Proceedings ArticleDOI
A MISO Nonlinear Model of Photovoltaic Panel Based on System Identification
Marcelo P. Rodrigues,Elder Oroski,Paulo Cézar Stadzisz,Clayton H. da Costa,André Eugênio Lazzaretti,Robson R. Linhares,Rafael Eleodoro de Goes +6 more
TL;DR: The Hammerstein-Wiener (HW) model structure was selected due to its simplicity of representing the nonlinearity of the PV panel and the results show that the proposed model is more accurate.
Proceedings ArticleDOI
Model identification using quantized data — a disturbance-free case
TL;DR: An approach to discrete-time frequency response as well as the corresponding parametric model identification using deterministic discrete- time multisine excitations and quantized plant output is presented and convergence of the identified model to true plant is discussed.
Journal ArticleDOI
Subspace Identification of Unstable Transfer Function Models
C. Sankar Rao,M. Chidambaram +1 more
TL;DR: The unstable transfer function models are simulated and identified by the present method for both deterministic and stochastic cases and the model is validated through the residual analysis.
Book ChapterDOI
Using Human Dynamics to Improve Operator Performance
TL;DR: In this article, a simple linear human model was obtained and used to design an improved closed-loop control structure for human-in-the-loop (HIL) systems.
Journal ArticleDOI
A committee machine based soft sensor as an alternative to multiphase flow meter for oil flow rate prediction of the wells
TL;DR: The proposed CMSS combines the results of linear and nonlinear auto-regression exogenous input, artificial neural network, and adaptive neuro-fuzzy inference system for overall oil flow rate prediction of the wells on the basis of available temperature and pressure measurements of lines.