Latent-variable Nonlinear Model Predictive Control Strategy for a pH Neutralization Process

DOI10.1002/asjc.1129zbMath1338.93149OpenAlexW1941517517MaRDI QIDQ2814047

Kangling Liu, Jun Liang, Qinghua Chi, Zhengshun Fei

Publication date: 17 June 2016

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

Full work available at URL: https://doi.org/10.1002/asjc.1129

zbMATH Keywords

optimizationpartial least squaresNMPCph neutralization

Mathematics Subject Classification ID

Classical flows, reactions, etc. in chemistry (92E20) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (2)

Offset-free state-space nonlinear predictive control for Wiener systems ⋮ Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell

Uses Software

• SNOPT

Cites Work

• The advanced-step NMPC controller: Optimality, stability and robustness
• An extension of Newton-type algorithms for nonlinear process control
• A novel dual-mode predictive control strategy for constrained Wiener systems
• SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization

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