Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps

DOI10.1007/978-3-642-03969-0_12zbMath1183.93120OpenAlexW9762332WikidataQ57662857 ScholiaQ57662857MaRDI QIDQ3405721

Ignacio Díaz, Alberto B. Diez, Abel A. Cuadrado, Manuel Domínguez, Juan J. Fuertes, Miguel A. Prada

Publication date: 11 February 2010

Published in: Engineering Applications of Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-03969-0_12

zbMATH Keywords

self-organizing mapsnonlinear multivariable systemsmulti-layer perceptronnonlinear auto-regressive with exogenous input

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Stochastic systems in control theory (general) (93E03)

Cites Work

• Nonlinear black-box modeling in system identification: A unified overview
• Non-linear system identification using neural networks
• Self-organizing maps.
• A bibliography on nonlinear system identification.

This page was built for publication: Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps