Results 21 to 30 of about 20,183,106 (289)
Iterative procedures for identification of nonlinear interconnected systems [PDF]
This work addresses the identification problem of a discrete-time nonlinear system composed by linear and nonlinear subsystems. Systems in this class will be represented by Linear Fractional Transformations.
Date, P, Pepona, E
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Nonlinear identification of a narrow cantilever blade undergoing free vibration was studied. In the absence of forced excitation and because of general data deficiency of this system, the current identification methods cannot be applied with sufficient ...
Ibrahim Mahariq +4 more
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Free-Decay Nonlinear System Identification via Mass-Change Scheme
Methods for nonlinear system identification of structures generally require input-output measured data to estimate the nonlinear model, as a consequence of the noninvariance of the FRFs in nonlinear systems.
Dario Anastasio, Stefano Marchesiello
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The author proposed the identification method of symmetric nonlinear system based on the Auto-Regressive analysis and the method of averaging in a previous paper.
Soichiro TAKATA
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Benchmarking Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
Characterisation and quantification of nonlinearities in the engineering structures include selecting and fitting a good mathematical model to a set of experimental vibration data with significant nonlinear features.
Sina Safari, Julián Londoño Monsalve
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Analysis and Identification of Nonlinear Acoustic Damping in Miniature Loudspeakers
Nonlinear acoustic damping is a key nonlinearity in miniature loudspeakers when the air velocity is at a high amplitude. Measurement of nonlinear acoustic damping is beneficial for predicting and analyzing the performance of miniature loudspeakers ...
Jie Huang +3 more
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System Identification of a Nonlinear Multivariable Steam Generator Power Plant Using Time Delay and Wavelet Neural Networks [PDF]
One of the most effective strategies for steam generator efficiency enhancement is to improve the control system. For such an improvement, it is essential to have an accurate model for the steam generator of power plant.
Laila Khalilzadeh Ganjali-khani +2 more
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Artificial neural networks (ANNs), one of the most important artificial intelligence techniques, are used extensively in modeling many types of problems. A successful training process is required to create effective models with ANN. An effective training
Ebubekir Kaya
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Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion
The maximum correntropy criterion (MCC) has recently been successfully applied to adaptive filtering. Adaptive algorithms under MCC show strong robustness against large outliers.
Zongze Wu +3 more
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Comparing system identification techniques for identifying human-like walking controllers
While human walking has been well studied, the exact controller is unknown. This paper used human experimental walking data and system identification techniques to infer a human-like controller for a spring-loaded inverted pendulum (SLIP) model.
Dave Schmitthenner, Anne E. Martin
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