Improvements in the formulation and solution approach for stochastic optimizing control of steady state industrial processes

DOI10.1080/00207179008953551zbMath0713.93064OpenAlexW2126845589MaRDI QIDQ3199306

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Publication date: 1990

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

Full work available at URL: https://doi.org/10.1080/00207179008953551

zbMATH Keywords

modified two-step methodssteady state estimationsteady state identificationstochastic steady state optimizing control problems

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Identification in stochastic control theory (93E12) Optimal stochastic control (93E20)

Related Items (2)

Hierarchical integrated identification and optimization approach for on-line stochastic optimizing control of large-scale steady-state industrial processes ⋮ Rationalization and application of algorithms for integrated system optimization and parameter estimation

Cites Work

• Unnamed Item
• Adaptive on-line steady-state optimization of slow dynamic processes
• On the invertibility of time series models
• Introduction to stochastic control theory
• 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
• Convergence and optimality of modified two-step algorithm for integrated system optimization and parameter estimation
• New model-based double-loop iterative strategy for integrated system optimization and parameter estimation of large-scale industrial processes
• A New Two-Model Approach for Optimizing Control of Large-Scale Steady-State Systems
• Hierarchical control and decomposition of a chemical plant
• Convex Analysis

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