Single iterative algorithm with global feedback for integrated system optimisation and parameter estimation of large scale industrial processes: optimality, convergence and simulation-Reference-Cited by-同舟云学术

Single iterative algorithm with global feedback for integrated system optimisation and parameter estimation of large scale industrial processes: optimality, convergence and simulation

Published:1992 Issue:5 Volume:139 Page:447
ISSN:0143-7054
Container-title:IEE Proceedings D Control Theory and Applications
language:en
Short-container-title:IEE Proc. D Control Theory Appl. UK

Author:

Amini Z.,Lin J.,Roberts P.D.

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering

Link

https://digital-library.theiet.org/content/journals/10.1049/ip-d.1992.0056?crawler=true&mimetype=application/pdf

Reference14 articles.

1. ‘On augmented model-based double iterative loop techniques: derivation, applicability and convergence’, Research Memorandum, CEC-MB/ NA/PDR-54, City University, Control Engineering Centre, London, UK, 1987

2. Chen, S.: ‘Integrated system optimisation and parameter estimation methods for on-line control of industrial processes’, , PhD thesis, The City University, London

3. Findeisen, W., Bailey, F.N., Brdyś, M., Malinowski, K., Tatjewski, P., and Wozniak, A.: Control and coordination in hierarchical systems, (Wiley 1980)

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1. Optimal Control Using Integrated Systems Optimisation and Parameter Estimation;IFAC Proceedings Volumes;2001-07

2. Coping with model-reality differences in industrial process optimisation — A review of integrated system optimisation and parameter estimation (isope);Computers in Industry;1995-08

3. On Hierarchical Structures for Optimal Control of Interconnected Dynamical Systems;IFAC Proceedings Volumes;1995-07