Identification of the Gray–Scott Model via Deterministic Learning

DOI10.1142/S0218127421500516zbMath1461.93099OpenAlexW3149465679MaRDI QIDQ5857898

Xunde Dong, Cong Wang

Publication date: 8 April 2021

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

Full work available at URL: https://doi.org/10.1142/s0218127421500516

zbMATH Keywords

system identificationspatiotemporal chaosdeterministic learning

Mathematics Subject Classification ID

Control/observation systems governed by partial differential equations (93C20) System identification (93B30) PDEs in connection with control and optimization (35Q93)

Uses Software

• SIT

Cites Work

• Unnamed Item
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• A numerical solution for a variable-order reaction-diffusion model by using fractional derivatives with non-local and non-singular kernel
• Impulsive Control and Synchronization of Spatiotemporal Chaos in the Gray–Scott Model
• THE IDENTIFICATION OF COMPLEX SPATIOTEMPORAL PATTERNS USING COUPLED MAP LATTICE MODELS
• Fractional Order Spatiotemporal Chaos with Delay in Spatial Nonlinear Coupling
• Identification of Space-Time Distributed Parameters in the Gierer--Meinhardt Reaction-Diffusion System
• Estimation of spatial derivatives and identification of continuous spatio-temporal dynamical systems
• Spatio-temporal chaos for the Gray-Scott model

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