Results 21 to 30 of about 128,037 (313)
Fractional power NARX model identification using a harmony search algorithm [PDF]
, 2012 A novel type of discrete-time fractional-powernonlinear autoregressive with exogenous input (FPNARX) modelis introduced for system identification, modeling and prediction.Parameter estimation of such a model is a nonlinear optimizationproblem.
Zhao, Yifan +7 more
core +1 more source
Analysis and Identification of Nonlinear Acoustic Damping in Miniature Loudspeakers
Applied Sciences, 2021 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
doaj +1 more source
Nonparametric nonlinear model predictive control [PDF]
, 2004 Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique.
Kashiwagi, H, Li, Y.
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On the interpretation and identification of dynamic Takagi-Sugenofuzzy models [PDF]
, 2000 Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization ...
Murray-Smith, R. +5 more
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Grey-box model identification via evolutionary computing [PDF]
, 2002 This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate ...
Y. Li, Li, Y., K.C. Tan, Tan, K.C.
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Dynamic modeling and identification of the Uniovi structure
International Journal for Simulation and Multidisciplinary Design Optimization, 2014 The nonlinear modeling and identification of a four-storey steel frame is presented in this paper. The bending modes of the frame were experimentally isolated by a single-point mono-harmonic excitation and used for identification purposes.
Zapico-Valle José Luis +1 more
doaj +1 more source
Bayesian Model Selection in Nonlinear Subspace Identification [PDF]
, 2022 In nonlinear system identification, one of the main challenges is how to select a nonlinear model. The accuracy of nonlinear subspace identification depends on the accuracy of the nonlinear feedback force that the user chooses.
Marchesiello, Stefano +4 more
core +1 more source
Identification and predictive control of a multistage evaporator [PDF]
, 2010 A recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control loops is developed for a simulation model of an industrial-scale five-stage evaporator.
Cao, Y. +14 more
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Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes
IEEE Access, 2021 This paper presents a new approach to neuro-fuzzy model identification based on a filtered recursive least squares method combined with an incrementally evolving Gaussian clustering method. The proposed identification algorithm generates the model on the
Goran Andonovski +2 more
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Data-Driven Identification of Nonlinear Flame Models [PDF]
Journal of Engineering for Gas Turbines and Power, 2020 Abstract This paper presents a data-driven identification framework with the objective to retrieve a flame model from the nonlinear limit cycle. The motivation is to identify a flame model for configurations, which do not allow the determination of the flame dynamics: that is commonly for industrial applications where (i) optical access ...
Ghani, Abdulla +2 more
openaire +2 more sources