Pages that link to "Item:Q3688237"

The following pages link to Input-output parametric models for non-linear systems Part I: deterministic non-linear systems (Q3688237):

Displaying 33 items.

• Identification of coupled map lattice models of deterministic distributed parameter systems (Q4787939) (← links)
• Identification of non-linear time series via kernels (Q4787950) (← links)
• Robust fuzzy Gustafson–Kessel clustering for nonlinear system identification (Q4809251) (← links)
• Adaptive NN control for a class of discrete-time non-linear systems (Q4810942) (← links)
• Term and variable selection for non-linear system identification (Q4814131) (← links)
• A unified wavelet-based modelling framework for non-linear system identification: the WANARX model structure (Q4828434) (← links)
• Frequency response functions for nonlinear rational models (Q4841409) (← links)
• Steady-state identification for large-scale industrial process by means of dynamic models (Q4848463) (← links)
• Improved structure selection for nonlinear models based on term clustering (Q4851683) (← links)
• Smoothing data with local instabilities for the identification of chaotic systems (Q4876776) (← links)
• Gain bounds of higher-order nonlinear transfer functions (Q4890802) (← links)
• Identification of polynomial input/output recursive models with simulation error minimisation methods (Q4909280) (← links)
• Bounding the parameters of block‐structured nonlinear feedback systems (Q4921760) (← links)
• An iterative algorithm for simulation error based identification of polynomial input–output models using multi-step prediction (Q4933097) (← links)
• On Overparametrization of Nonlinear Discrete Systems (Q4936206) (← links)
• Exploring active subspace for neural network prediction of oscillating combustion (Q5030781) (← links)
• Power Transformer Forecasting in Smart Grids Using NARX Neural Networks (Q5048381) (← links)
• Enhanced algorithm for randomised model structure selection (Q5073353) (← links)
• Hierarchical integrated identification and optimization approach for on-line stochastic optimizing control of large-scale steady-state industrial processes (Q5202617) (← links)
• An iterative orthogonal forward regression algorithm (Q5252870) (← links)
• A randomised approach for NARX model identification based on a multivariate Bernoulli distribution (Q5347338) (← links)
• Stability analysis of data-driven local model networks (Q5418865) (← links)
• Mapping non-linear integro-differential equations into the frequency domain (Q5753829) (← links)
• Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation (Q5758312) (← links)
• Approximate models for nonlinear dynamical systems and their generalization properties (Q5936775) (← links)
• Identification of coupled map lattice models of complex spatio-temporal patterns (Q5941668) (← links)
• The local paradigm for modeling and control: From neuro-fuzzy to lazy learning (Q5947594) (← links)
• Linear approximation model network and its formation via evolutionary computation. (Q5955829) (← links)
• Nonlinear system identification and fault diagnosis using a new GUI interpretation tool (Q5960772) (← links)
• A randomized method for the identification of switched NARX systems (Q6116286) (← links)
• Identification and nonlinearity compensation of hysteresis using NARX models (Q6174355) (← links)
• Evaluation of kriging-NARX modeling for uncertainty quantification of nonlinear SDOF systems with degradation (Q6491377) (← links)
• What NARX networks can compute (Q6573926) (← links)