Results 261 to 270 of about 519,710 (307)
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Neuromuscular blockade nonlinear model identification
2009 17th Mediterranean Conference on Control and Automation, 2009This paper presents a methodology for parameter estimation of a nonlinear neuromuscular blockade dynamic model to be used as a predictive model for automated control, in general anesthesia. The neuromuscular blockade dynamic model comprises two blocks connected in series, a pharmacokinetic model and the pharmacodynamic model.
B. Andrade Costa +3 more
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Nonlinear system identification using autoregressive quadratic models
Signal Processing, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Le Caillec, Jean-Marc, Garello, René
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Nonlinear system identification: Finding structure in nonlinear black-box models
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017The use of black-box models is wide-spread in signal processing and system identification applications. However, often such models possess a large number of parameters, and obfuscate their inner workings, as there are nonlinear connections between all inputs and all outputs (and possibly internal states) of the model.
Dreesen, Philippe +3 more
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Identification of nonlinear systems using Polynomial Nonlinear State Space models
Automatica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paduart, Johan +5 more
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PWA Dynamic Identification for Nonlinear Model Fault Detection
IFAC Proceedings Volumes, 2006Abstract This paper addresses the identification of non–linear dynamic systems. A wide class of these systems can be described using non–linear time-invariant regression models, that can be approximated by means of piecewise affine prototypes with an arbitrary degree of accuracy.
SIMANI, Silvio, FANTUZZI, Cesare
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Robust nonlinear system identification using neural network models
Proceedings of 1995 34th IEEE Conference on Decision and Control, 1998We study the problem of identification for nonlinear systems in the presence of unknown driving noise, using both feedforward multilayer neural network and radial basis function network models. Our objective is to resolve the difficulty associated with the persistency of excitation condition inherent to the standard schemes in the neural identification
S, Lu, T, Basar
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Nonlinear identification of neuron models
2015 IEEE Conference on Control Applications (CCA), 2015The paper discusses when and how a nonlinear autonomous system can be uniquely identified from periodic data. This is a central problem in systems biology, where it e.g. arises when the dynamics of spiking neurons are modeled. The paper illustrates the problem by least squares identification of two autonomous neuron models, of order 4 and 2.
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Identification of a nonlinear compressor model
Mathematics and Computers in Simulation, 1998In this article, a technique for the identification of a nonlinear compressor performance model exhibiting bifurcation phenomena is presented. The approach consists of employing the modal form of the compressor flow equations along with derived linear and nonlinear stability results.
C.J Rivera, J.V.R Prasad
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Nonlinear parameter identification of models for masonry
International Journal of Solids and Structures, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Modeling and identification of freeplay nonlinearity
Journal of Sound and Vibration, 2012Abstract A nonlinear analysis is performed for the purpose of identification of the pitch freeplay nonlinearity and its effect on the type of bifurcation of a two degree-of-freedom aeroelastic system. The databases for the identification are generated from experimental investigations of a pitch-plunge rigid airfoil supported by a nonlinear torsional ...
A. Abdelkefi +3 more
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