Pages that link to "Item:Q3829400"
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The following pages link to Representations of non-linear systems: the NARMAX model (Q3829400):
Displaying 36 items.
- Modeling and prediction of chaotic systems with artificial neural networks (Q3578176) (← links)
- Recursive hybrid algorithm for non-linear system identification using radial basis function networks (Q4012565) (← links)
- Orthogonal least-squares parameter estimation algorithms for non-linear stochastic systems (Q4018404) (← links)
- Fourier transform symmetry and invariance for neurocontrol of NARMA models (Q4374119) (← links)
- On Identifying Global Nonlinear Discrete Models from Chaotic Data (Q4399455) (← links)
- DISCRETE WAVELET MODELS FOR IDENTIFICATION AND QUALITATIVE ANALYSIS OF CHAOTIC SYSTEMS (Q4522226) (← links)
- Adaptive neurofuzzy control for a class of state-dependent nonlinear processes (Q4546751) (← links)
- Using global modeling to unveil hidden couplings in small network motifs (Q4644740) (← links)
- Identification of non-linear parametrically varying models using separable least squares (Q4652101) (← links)
- Multiobjective nonlinear system identification: a case study with thyristor controlled series capacitor (TCSC) (Q4678221) (← links)
- A bound for the magnitude characteristics of nonlinear output frequency response functions Part 1. Analysis and computation (Q4714643) (← links)
- Development and Application of a Nonlinear Modal Analysis Technique for MDOF Systems (Q4787701) (← links)
- Identification of coupled map lattice models of deterministic distributed parameter systems (Q4787939) (← links)
- Identification of a class of non-linear parametrically varying models (Q4797967) (← links)
- Identification of piecewise affine models in noisy environment (Q4800358) (← links)
- Non-linear systems in the frequency domain: Energy transfer filters (Q4803168) (← links)
- On Overparametrization of Nonlinear Discrete Systems (Q4936206) (← links)
- Volterra series identification and its applications in structural identification of nonlinear block-oriented systems (Q5026785) (← links)
- Exploring active subspace for neural network prediction of oscillating combustion (Q5030781) (← links)
- Influence of Sampling Rate and Discretization Methods in the Parameter Identification of Systems with Hysteresis (Q5083750) (← links)
- On the structure of time-delay embedding in linear models of non-linear dynamical systems (Q5129835) (← links)
- (Q5134747) (← links)
- Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data (Q5157143) (← links)
- Operator Approximation for Processing of Large Random Data Sets (Q5261250) (← links)
- On Convergence of Volterra Series Expansion of a Class of Nonlinear Systems (Q5280224) (← links)
- Data-Driven Identification of Parametric Partial Differential Equations (Q5383204) (← links)
- (Q5389631) (← links)
- Nonparametric instrumental variables for identification of block-oriented systems (Q5396427) (← links)
- Decomposition of generalized frequency response functions for nonlinear systems using symbolic computation (Q5690215) (← links)
- A cumulant based algorithm for the identification of input-output quadratic systems (Q5960311) (← links)
- Nonlinear system identification and fault diagnosis using a new GUI interpretation tool (Q5960772) (← links)
- Data-driven identification of parametric governing equations of dynamical systems using the signed cumulative distribution transform (Q6125481) (← links)
- Recursive identification of a nonlinear state space model (Q6497966) (← links)
- The identification of piecewise non-linear dynamical system without understanding the mechanism (Q6548691) (← links)
- Data-driven identification of dynamical models using adaptive parameter sets (Q6561192) (← links)
- Optimal modeling of nonlinear systems: method of variable injections (Q6563254) (← links)