Modeling and Control Approach to Coupled Tanks Liquid Level System Based on Function‐Type Weight RBF‐ARX Model

DOI10.1002/asjc.1393zbMath1365.93232OpenAlexW2546208914MaRDI QIDQ5270476

Xiaoyong Zeng, Hui Peng, Jun Wu, Feng Zhou, Xiaoying Tian

Publication date: 23 June 2017

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1393

zbMATH Keywords

model predictive controlreal-time controlcoupled tanks systemfunction-type weight RBF networkliquid level control

Mathematics Subject Classification ID

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Cites Work

• Approximate explicit receding horizon control of constrained nonlinear systems.
• Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model
• Adaptive receding horizon control for constrained MIMO systems
• Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series
• Quad‐Rotor Modeling and Attitude Control Using <scp>S</scp>tate‐<scp>D</scp>ependent <scp>ARX</scp> Type Model
• Time series analysis using normalized PG-RBF network with regression weights

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