RBF-ARX model-based robust MPC for nonlinear systems with unknown and bounded disturbance

DOI10.1016/j.jfranklin.2017.10.002zbMath1380.93113OpenAlexW2765092711MaRDI QIDQ682684

Hui Peng, Xiaoyong Zeng, Xiaoyan Peng, Feng Zhou, Xiaoying Tian

Publication date: 5 February 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.10.002

zbMATH Keywords

stabilitynonlinear systemoutput tracking controlparameter-dependent Lyapunov functioncontinuously stirred tank reactor (CSTR) simulatorpolytopic uncertain linear parameter varying (LPV) state-space modelquasi-min-max robust MPC algorithmRBF-ARX model-based robust predictive control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41)

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