GLOBAL NONLINEAR POLYNOMIAL MODELS: STRUCTURE, TERM CLUSTERS AND FIXED POINTS

DOI10.1142/S0218127496000059zbMath0870.58091OpenAlexW2124076366MaRDI QIDQ4345203

Eduardo M. A. M. Mendes, Luis Antonio Aguirre

Publication date: 18 September 1997

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127496000059

zbMATH Keywords

polynomial models

Mathematics Subject Classification ID

Applications of dynamical systems (37N99)

Related Items (12)

Recovering map static nonlinearities from chaotic data using dynamical models ⋮ Identification and nonlinearity compensation of hysteresis using NARX models ⋮ Fitting model equations to time series using chaos synchronization ⋮ NONLINEAR IDENTIFICATION USING PRIOR KNOWLEDGE OF FIXED POINTS: A MULTIOBJECTIVE APPROACH ⋮ Estimation of parameters in one-dimensional maps from noisy chaotic time series ⋮ On Identifying Global Nonlinear Discrete Models from Chaotic Data ⋮ Structure-selection techniques applied to continuous-time nonlinear models ⋮ On Overparametrization of Nonlinear Discrete Systems ⋮ Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions ⋮ An Algorithm for Estimating Fixed Points of Dynamical Systems from Time Series ⋮ Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation ⋮ Modeling nonlinear dynamics and chaos: a review

This page was built for publication: GLOBAL NONLINEAR POLYNOMIAL MODELS: STRUCTURE, TERM CLUSTERS AND FIXED POINTS