Predictive control of a direct internal reforming SOFC using a self recurrent wavelet network model

DOI10.1631/jzus.A0800887zbMath1206.93030OpenAlexW2398087713MaRDI QIDQ621485

Heng-Yong Tu, Nan Gao, Xin-Jian Zhu, Jun Li, Guang-Yi Cao, Ming-Ruo Hu, Jian Li

Publication date: 2 February 2011

Published in: Journal of Zhejiang University. Science A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1631/jzus.a0800887

zbMATH Keywords

predictive controldirect internal reforming (DIR)self recurrent wavelet network (SRWN)solid oxide fuel cell (SOFC)

Mathematics Subject Classification ID

Control/observation systems governed by partial differential equations (93C20) Feedback control (93B52) System identification (93B30) Nonlinear systems in control theory (93C10) Numerical methods for wavelets (65T60) Methods of reduced gradient type (90C52)

Cites Work

• Training wavelet networks for nonlinear dynamic input-output modeling
• Generalized predictive control based on self-recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach
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