New model-based double-loop iterative strategy for integrated system optimization and parameter estimation of large-scale industrial processes
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Publication:3787849
DOI10.1080/00207178808906053zbMath0644.93005OpenAlexW2074798396MaRDI QIDQ3787849
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Publication date: 1988
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207178808906053
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Related Items (6)
New approach to stochastic optimizing control of steady-state systems using dynamic information ⋮ Augmented model-based double iterative loop techniques for hierarchical control of complex industrial processes ⋮ Improvements in the formulation and solution approach for stochastic optimizing control of steady state industrial processes ⋮ Double loop iterative strategies for hierarchical control of industrial processes ⋮ Convergence analysis in sense of Lebesgue-\(p\) norm of decentralized non-repetitive iterative learning control for linear large-scale systems ⋮ Triple iterative loop technique for optimizing control of large-scale steady-state systems
Cites Work
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- Joint coordination method for the steady-state control of large-scale systems
- An integrated system optimization and parameter estimation technique for hierarchical control of steady-state systems
- Extension of integrated system optimization and parameter estimation to hierarchical control of steady state systems with output-dependent constraints
- An algorithm for steady-state system optimization and parameter estimation
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