DOI10.1080/00207178808906169zbMath0647.93062OpenAlexW2088051354MaRDI QIDQ3792602
No author found.
Publication date: 1988
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: http://eprints.whiterose.ac.uk/76998/1/report%20307.pdf
Time series prediction using support vector machines, the orthogonal and the regularized orthogonal least-squares algorithms,
Integral minimum variance-like control for pooled non-linear representations with application to an aircraft system,
Non-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models,
Identification of radius-vector functions of interface evolution for star-shaped crystal growth,
IDENTIFICATION OF EXCITABLE MEDIA USING CELLULAR AUTOMATA MODELS,
Identification of models for chaotic systems from noisy data: implications for performance and nonlinear filtering,
Recovering map static nonlinearities from chaotic data using dynamical models,
On motion camouflage as proportional navigation,
Term and variable selection for non-linear system identification,
Structure identification of nonlinear dynamic systems - A survey on input/output approaches,
Enhanced algorithm for randomised model structure selection,
A unified wavelet-based modelling framework for non-linear system identification: the WANARX model structure,
Real-time design of an adaptive nonlinear predictive controller,
Use of PRESS residuals in dynamic system identification,
Orthogonal estimation algorithm for complex number systems,
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping,
Identification of continuous time nonlinear systems using delayed state variable filters,
Orthogonal least-squares parameter estimation algorithms for non-linear stochastic systems,
Identification of multi-class linear and nonlinear systems,
Generalized multiscale radial basis function networks,
Dynamic wavelet and equivalent models,
IDENTIFICATION OF THE BELOUSOV–ZHABOTINSKII REACTION USING CELLULAR AUTOMATA MODELS,
Identification of systems from non-uniformly sampled data,
Parameter estimation for stochastic nonlinear rational models,
A randomized algorithm for nonlinear model structure selection,
Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization,
Structure detection and parameter estimation for NARX models in a unified EM framework,
Regressor and structure selection in NARX models using a structured ANOVA approach,
Stability of nonlinear polynomial ARMA models and their inverse,
Smoothing data with local instabilities for the identification of chaotic systems,
Modeling global vector fields of chaotic systems from noisy time series with the aid of structure-selection techniques,
Fast orthogonal identification of nonlinear stochastic models and radial basis function neural networks,
Investigation of determinism in heart rate variability,
A suboptimal bootstrap method for structure detection of non-linear output-error models with application to human ankle dynamics,
An investigation into the characteristics of non-linear frequency response functions. Part 2: New analysis methods based on symbolic expansions and graphical techniques,
Distributed dynamic load identification based on shape function method and polynomial selection technique,
Identification of non-linear output-affine systems using an orthogonal least-squares algorithm,
Identification of polynomial input/output recursive models with simulation error minimisation methods,
Representations of non-linear systems: the NARMAX model,
Identification of non-linear rational systems using a prediction-error estimation algorithm,
A SMOOTHING ALGORITHM FOR NONLINEAR TIME SERIES,
On Identifying Global Nonlinear Discrete Models from Chaotic Data,
An iterative algorithm for simulation error based identification of polynomial input–output models using multi-step prediction,
The wavelet-NARMAX representation: A hybrid model structure combining polynomial models with multiresolution wavelet decompositions,
Identification of time-varying pH processes using sinusoidal signals,
Regressor selection with the analysis of variance method,
Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions,
Mapping non-linear integro-differential equations into the frequency domain,
Nonlinear system identification and fault diagnosis using a new GUI interpretation tool,
Functional variable selection via Gram–Schmidt orthogonalization for multiple functional linear regression,
How entropic regression beats the outliers problem in nonlinear system identification,
An identification algorithm for polynomial NARX models based on simulation error minimization,
Improved parameter estimates for non-linear dynamical models using a bootstrap method,
Long term prediction of non-linear time series using multiresolution wavelet models,
Extended model set, global data and threshold model identification of severely non-linear systems,
Orthogonal least squares methods and their application to non-linear system identification,
A bootstrap method for structure detection of NARMAX models,
Application of a least absolute shrinkage and selection operator to aeroelastic flight test data,
Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis,
Spatiotemporal system reconstruction using Fourier spectral operators and structure selection techniques,
A new GUI interpretation tool for the nonlinear frequency response function