New coordination strategy for on-line hierarchical optimizing control of large scale industrial processes

DOI10.1080/00207179108934199zbMath0742.90038OpenAlexW2027508496WikidataQ126244498 ScholiaQ126244498MaRDI QIDQ3979744

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Publication date: 26 June 1992

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

Full work available at URL: https://doi.org/10.1080/00207179108934199

zbMATH Keywords

convergence analysiscoordination strategyhierarchical optimizing controlvariable augmentation technique

Mathematics Subject Classification ID

Production models (90B30) Application models in control theory (93C95) Computational methods for problems pertaining to operations research and mathematical programming (90-08)

Cites Work

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• New approach to stochastic optimizing control of steady-state systems using dynamic information
• Augmentation of Several Newly Developed Algorithms for Integrated System Optimization and Parameter Estimation of Large-Scale Industrial Processes: Convergence Analysis and Comparative Study
• An algorithm for steady-state system optimization and parameter estimation
• Hierarchical integrated identification and optimization approach for on-line stochastic optimizing control of large-scale steady-state industrial processes