On the combination of kernel principal component analysis and neural networks for process indirect control

DOI10.1080/13873954.2019.1710715zbMath1485.93286OpenAlexW2999926510WikidataQ126404108 ScholiaQ126404108MaRDI QIDQ5069326

Mohamed Benrejeb, Sabrine Slama, Ayachi Errachdi

Publication date: 8 April 2022

Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/13873954.2019.1710715

zbMATH Keywords

modellingneural networksreductionnon-linear systemKPCAindirect control

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)

Uses Software

• darch

Cites Work

• Indirect adaptive control of nonlinear dynamic systems using self recurrent wavelet neural networks via adaptive learning rates
• Data-driven monitoring for stochastic systems and its application on batch process
• Reducing the Dimensionality of Data with Neural Networks
• Independent component analysis applied to feature extraction from colour and stereo images
• 10.1162/153244303322753616
• Analysis of linear and nonlinear dimensionality reduction methods for gender classification of face images
• Unnamed Item

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