Pages that link to "Item:Q2847892"

The following pages link to Nonlinear system identification. NARMAX methods in the time, frequency, and spatio-temporal domains (Q2847892):

Displaying 50 items.

• Gradient-based adaptation of continuous dynamic model structures (Q2795130) (← links)
• A general U-block model-based design procedure for nonlinear polynomial control systems (Q2821358) (← links)
• Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation (Q2821368) (← links)
• Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG (Q2822325) (← links)
• Identification of continuous-time models for nonlinear dynamic systems from discrete data (Q2828760) (← links)
• An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models (Q2974195) (← links)
• Improvements in stable inversion of NARX models by using Mann iteration (Q3177940) (← links)
• A Spatial Frequency Domain Analysis of the Belousov–Zhabotinsky Reaction (Q3191095) (← links)
• Practical identification of NARMAX models using radial basis functions (Q3489914) (← links)
• (Q4372859) (← links)
• Nonlinear model identification and spectral submanifolds for multi-degree-of-freedom mechanical vibrations (Q4557903) (← links)
• Data-Driven Discovery of Closure Models (Q4562411) (← links)
• Sparse reduced-order modelling: sensor-based dynamics to full-state estimation (Q4563901) (← links)
• Model selection for dynamical systems via sparse regression and information criteria (Q4644829) (← links)
• Efficient least angle regression for identification of linear-in-the-parameters models (Q4647134) (← links)
• 9 From the POD-Galerkin method to sparse manifold models (Q4993250) (← links)
• U-model enhanced control of non-minimum phase systems (Q5026609) (← links)
• Volterra series identification and its applications in structural identification of nonlinear block-oriented systems (Q5026785) (← links)
• Multistage for identification of Wiener time delay systems based on hierarchical gradient approach (Q5035719) (← links)
• Power Transformer Forecasting in Smart Grids Using NARX Neural Networks (Q5048381) (← links)
• Enhanced algorithm for randomised model structure selection (Q5073353) (← links)
• Analysis of nonlinear state space model with dependent measurement noises (Q5078098) (← links)
• Cross-codifference for bidimensional VAR(1) time series with infinite variance (Q5082898) (← links)
• Influence of Sampling Rate and Discretization Methods in the Parameter Identification of Systems with Hysteresis (Q5083750) (← links)
• Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data (Q5157143) (← links)
• SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics (Q5161113) (← links)
• Constrained sparse Galerkin regression (Q5226317) (← links)
• Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Q5243602) (← links)
• An iterative orthogonal forward regression algorithm (Q5252870) (← links)
• A randomised approach for NARX model identification based on a multivariate Bernoulli distribution (Q5347338) (← links)
• Sparse learning of partial differential equations with structured dictionary matrix (Q5377550) (← links)
• System identification by operatorial cancellation of nonlinear terms and application to a class of Volterra models (Q5739102) (← links)
• On the role of nonlinear correlations in reduced-order modelling (Q5863430) (← links)
• Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering (Q5880619) (← links)
• Multiscale model reduction for incompressible flows (Q6052276) (← links)
• Neural network-based parametric system identification: a review (Q6063217) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)
• Stochastic dynamic analysis of composite plates in thermal environments using nonlinear autoregressive model with exogenous input in polynomial chaos expansion surrogate (Q6084436) (← links)
• Optimal filtering equations in state space model of the two factors mean reverting Ornstein-Uhlenbech process (Q6096211) (← links)
• Learning low-dimensional separable decompositions of MIMO non-linear systems (Q6105538) (← links)
• Kernel functions embed into the autoencoder to identify the sparse models of nonlinear dynamics (Q6121868) (← links)
• Automated multi-objective system identification using grammar-based genetic programming (Q6133408) (← links)
• Deep subspace encoders for nonlinear system identification (Q6136161) (← links)
• Rapid uncertainty quantification for non-linear and stochastic wind excited structures: a metamodeling approach (Q6145841) (← links)
• Fast evaluation of generalized associated linear equations (GALEs) for nonlinear systems characterization and compensation (Q6152349) (← links)
• Data-driven reduced order models using invariant foliations, manifolds and autoencoders (Q6168858) (← links)
• Iterative learning identification: Dynamic parametrization modeling and comparison (Q6190210) (← links)
• Generalized Savitzky-Golay filters for identification of nonstationary systems (Q6198146) (← links)
• PDE-READ: human-readable partial differential equation discovery using deep learning (Q6488684) (← links)
• Evaluation of kriging-NARX modeling for uncertainty quantification of nonlinear SDOF systems with degradation (Q6491377) (← links)