Multivariable RBF-ARX model-based robust MPC approach and application to thermal power plant

DOI10.1016/J.APM.2011.01.002zbMath1221.93181OpenAlexW2064216254MaRDI QIDQ638885

Kohei Ohtsu, Jun Wu, Genshiro Kitagawa, Hui Peng

Publication date: 16 September 2011

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2011.01.002

zbMATH Keywords

stabilityrobustnessmodelingnonlinear systempredictive controlthermal power plant

Mathematics Subject Classification ID

Semidefinite programming (90C22) Stabilization of systems by feedback (93D15) Control/observation systems involving computers (process control, etc.) (93C83) Robust stability (93D09)

Related Items (5)

Operation strategy optimization of desulfurization system based on data mining ⋮ Hierarchical least squares based iterative estimation algorithm for multivariable Box-Jenkins-like systems using the auxiliary model ⋮ RBF-ARX model-based robust MPC for nonlinear systems with unknown and bounded disturbance ⋮ Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series ⋮ Modelling and long-term simulation of a heat recovery steam generator

Cites Work

• Robust constrained model predictive control using linear matrix inequalities
• A local model networks based multivariable long-range predictive control strategy for thermal power plants
• An improved approach for constrained robust model predictive control
• Constrained model predictive control: Stability and optimality
• Model-based predictive control for Hammerstein?Wiener systems
• Structured parameter optimization method for the radial basis function-based state-dependent autoregressive model
• Non-linear generalized predictive control (NLGPC) applied to muscle relaxant anaesthesia

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