Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis

DOI10.1080/00207720902974694zbMath1292.93136OpenAlexW2086570957MaRDI QIDQ5494677

Lingzhong Guo, Stephen A. Billings, Daniel Coca

Publication date: 29 July 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720902974694

zbMATH Keywords

multiresolution analysisspatio-temporal systemorthogonal least squares algorithmmultiscale identification

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Time-scale analysis and singular perturbations in control/observation systems (93C70) Identification in stochastic control theory (93E12)

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Identification and verification of chaotic dynamics in a missile system from experimental time series

Cites Work

• Modelling spatio-temporal data: a new variogram and covariance structure proposal
• Strong consistency of least squares estimates in dynamic models
• Identification of finite-dimensional models of infinite-dimensional dynamical systems
• Identification of coupled map lattice models for spatio-temporal patterns using wavelets
• Orthogonal parameter estimation algorithm for non-linear stochastic systems
• Nonlinear system identification by the Haar multiresolution analysis
• Nonparametric identification of nonlinearities in block-oriented systems by orthogonal wavelets with compact support
• Analysis of a Two-Scale Phase Field Model for Liquid-Solid Phase Transitions with Equiaxed Dendritic Microstructure
• Estimation of spatial derivatives and identification of continuous spatio-temporal dynamical systems
• Spatio-temporal analysis of nucleate pool boiling: identification of nucleation sites using non-orthogonal empirical functions

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