Steady-state identification for large-scale industrial process by means of dynamic models

DOI10.1080/00207729508929089zbMath0828.93064OpenAlexW2075771504MaRDI QIDQ4848463

Baiwu Wan, Qing-Xin Chen

Publication date: 10 January 1996

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729508929089

zbMATH Keywords

large-scalesteady-state identification

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Identification in stochastic control theory (93E12) Large-scale systems (93A15) Model systems in control theory (93C99)

Cites Work

• Adaptive on-line steady-state optimization of slow dynamic processes
• New approach to stochastic optimizing control of steady-state systems using dynamic information
• Input-output parametric models for non-linear systems Part I: deterministic non-linear systems
• Two-stage procedure for parameter estimation in large-scale interconnected linear zero-memory systems
• An algorithm for steady-state system optimization and parameter estimation

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