Nonlinear model predictive control using parameter varying BP-ARX combination model

DOI10.1080/00207721.2010.517855zbMath1258.93130OpenAlexW2037278345MaRDI QIDQ4911080

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Publication date: 13 March 2013

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

Full work available at URL: https://doi.org/10.1080/00207721.2010.517855

zbMATH Keywords

nonlinear systemsneural networksmodel predictive controlleast-squares methodsARX model

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Least squares and related methods for stochastic control systems (93E24)

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Cites Work

• Generalized predictive control. I: The basic algorithm
• Fuzzy model-based predictive control using Takagi-Sugeno models
• MIMO fuzzy internal model control
• The recursive generalized predictive feedback control: theory and experiments
• Frequency domain identification of hammerstein models
• Recursive Identification for Hammerstein System With ARX Subsystem

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