Pages that link to "Item:Q3829400"

The following pages link to Representations of non-linear systems: the NARMAX model (Q3829400):

Displaying 50 items.

• Nonparametric transformation to white noise (Q290951) (← links)
• Identification of nonlinear systems using NARMAX model (Q419906) (← links)
• Adaptive fuzzy-neural tracking control for uncertain nonlinear discrete-time systems in the NARMAX form (Q437135) (← links)
• Frequency-dependent magnitude bounds of the generalized frequency response functions for NARX model (Q468289) (← links)
• A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems (Q510143) (← links)
• Best approximation of the identity mapping: The case of variable finite memory (Q860691) (← links)
• A neural network approach for the real-time detection of faults (Q954701) (← links)
• On-line fuzzy modeling via clustering and support vector machines (Q955239) (← links)
• Identification of nonlinear systems using polynomial nonlinear state space models (Q983202) (← links)
• From linear to nonlinear identification: one step at a time (Q984196) (← links)
• Identification of nonlinear dynamics using a general-spatio-temporal network (Q1346678) (← links)
• On-line structure detection and parameter estimation with exponential windowing for nonlinear systems (Q1352541) (← links)
• Non-parametric estimation of the frequency-response functions of the linear blocks of a Wiener-Hammerstein model (Q1367191) (← links)
• A back propagation algorithm to estimate the parameters of nonlinear dynamic rational models. (Q1401067) (← links)
• Modelling and prediction of machining errors using ARMAX and NARMAX structures (Q1433249) (← links)
• Unwanted noise and vibration control using finite element analysis and artificial intelligence (Q1630180) (← links)
• Tracking nonlinear correlation for complex dynamic systems using a windowed error reduction ratio method (Q1687461) (← links)
• On the relation between NARX clusters and even/odd nonlinearities through frequency-domain analysis (Q1718862) (← links)
• MTN optimal tracking control of SISO nonlinear time-varying discrete-time systems without mechanism models (Q1720752) (← links)
• On the use of interval extensions to estimate the largest Lyapunov exponent from chaotic data (Q1721305) (← links)
• A neural predictive controller for non-linear systems (Q1849833) (← links)
• Identification of finite-dimensional models of infinite-dimensional dynamical systems (Q1858854) (← links)
• A new GUI interpretation tool for the nonlinear frequency response function (Q1867786) (← links)
• Identification of models for chaotic systems from noisy data: implications for performance and nonlinear filtering (Q1893285) (← links)
• Generalized autoregression and the analysis of dynamical processes (Q1913063) (← links)
• Identification of hysteresis in human meridian systems based on NARMAX model (Q1952850) (← links)
• Modelling non-linear control systems using the discrete Urysohn operator (Q2181453) (← links)
• A robust model structure selection method for small sample size and multiple datasets problems (Q2195372) (← links)
• Deep learning of dynamics and signal-noise decomposition with time-stepping constraints (Q2222431) (← links)
• Modeling the dynamic sandwich system with hysteresis using NARMAX model (Q2229807) (← links)
• Projection-based and neural-net reduced order model for nonlinear Navier-Stokes equations (Q2245826) (← links)
• Detecting unreliable computer simulations of recursive functions with interval extensions (Q2318236) (← links)
• An iterative method and its application to stable inversion (Q2318582) (← links)
• Significant vector learning to construct sparse kernel regression models (Q2383041) (← links)
• Magnitude bounds of generalized frequency response functions for nonlinear Volterra systems described by NARX model (Q2440665) (← links)
• An implicit least squares algorithm for nonlinear rational model parameter estimation (Q2486848) (← links)
• Nonlinear system identification of systems with periodic limit-cycle response (Q2499426) (← links)
• Adaptive mnn control for a class of non-affine narmax systems with disturbances (Q2503640) (← links)
• Computational system identification for Bayesian NARMAX modelling (Q2628471) (← links)
• Recursive prediction error identification and scaling of non-linear state space models using a restricted Black box parameterization (Q2641745) (← links)
• Review of rational (total) nonlinear dynamic system modelling, identification, and control (Q2792951) (← links)
• Offset-free multistep nonlinear model predictive control under plant-model mismatch (Q2795805) (← 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)
• Application of advanced data-driven parametric models to load reconstruction in mechanical structures and systems (Q2846355) (← links)
• Inverse optimal self-tuning PID control design for an autonomous underwater vehicle (Q2977622) (← links)
• Non-linear system identification using wavelet multiresolution models (Q3151500) (← links)
• An adaptive multiscale basis method for modelling discrete-time non-linear dynamical systems (Q3151616) (← links)
• Improvements in stable inversion of NARX models by using Mann iteration (Q3177940) (← links)
• Interpretation of non-linear frequency response functions (Q3491410) (← links)
• The design of energy transfer filters for energy focus filtering (Q3542960) (← links)