Results 111 to 120 of about 1,828,697 (335)

An experimental study of nonlinear dynamic system identification [PDF]

open access: yes
A technique based on the Minimum Model Error optimal estimation approach is employed for robust identification of a nonlinear dynamic system. A simple harmonic oscillator with quadratic position feedback was simulated on an analog computer.
Mook, D, Joseph, Stry, Greselda I.
core   +4 more sources

Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification

open access: yesAdvances in Electrical and Computer Engineering, 2010
The nonlinear systems identification method described in the paper is based on genetic programming, a robust tool, able to ensure the simultaneous selection of model structure and parameters.
PATELLI, A., FERARIU, L.
doaj   +1 more source

Identifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensing

open access: yesEntropy, 2014
We develop a completely data-driven approach to reconstructing coupled neuronal networks that contain a small subset of chaotic neurons. Such chaotic elements can be the result of parameter shift in their individual dynamical systems and may lead to ...
Ri-Qi Su, Ying-Cheng Lai, Xiao Wang
doaj   +1 more source

Spatio-temporal generalised frequency response functions [PDF]

open access: yes, 2010
The concept of generalised frequency response functions (GFRFs), which were developed for nonlinear system identification and analysis, is extended to continuous spatio-temporal dynamical systems normally described by partial differential equations (PDEs)
Billings, S.A.   +4 more
core  

Nonlinear system identification using Gaussian inputs

open access: yesIEEE Transactions on Signal Processing, 1995
The paper is concerned with the identification of nonlinear systems represented by Volterra expansions and driven by stationary, zero mean Gaussian inputs, with arbitrary spectra that are not necessarily white. Procedures for the computation of the Volterra kernels both in the time as well as in the frequency domain are developed based on cross ...
Koukoulas, P., Kalouptsidis, N.
openaire   +2 more sources

Pyramidal Structures on Yttria‐Stabilized Zirconia after High Temperature Exposure at 1500°C: New Features on an Old Material

open access: yesAdvanced Engineering Materials, EarlyView.
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold   +2 more
wiley   +1 more source

An extended orthogonal forward regression algorithm for system identification using entropy [PDF]

open access: yes, 2006
In this paper, a fast identification algorithm for nonlinear dynamic stochastic system identification is presented. The algorithm extends the classical Orthogonal Forward Regression (OFR) algorithm so that instead of using the Error Reduction Ratio (ERR)
Billings, S.A., Guo, L.Z., Zhu, D.Q.
core  

Federated Nonlinear System Identification

open access: yes
We consider federated learning of linearly-parameterized nonlinear systems. We establish theoretical guarantees on the effectiveness of federated nonlinear system identification compared to centralized approaches, demonstrating that the convergence rate improves as the number of clients increases.
Tupe, Omkar   +3 more
openaire   +2 more sources

Solid‐State Diffusion and Intermetallic Phase Formation in Roll‐Bonded Mg–Zn Composites With Kirigami‐Patterned Inlay

open access: yesAdvanced Engineering Materials, EarlyView.
Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov   +4 more
wiley   +1 more source

Laguerre-Volterra Filters Optimization Based on Laguerre Spectra

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
New batch and adaptive methods are proposed to optimize the Volterra kernels expansions on a set of Laguerre functions. Each kernel is expanded on an independent Laguerre basis. The expansion coefficients, also called Fourier coefficients, are estimated
Hassani Moha M   +2 more
doaj   +1 more source

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