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Hierarchical Adaptive Techniques for Optimizing Control of Large-Scale Steady-State Systems: Optimality, Iterative Strategies,and their Convergence |
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| Authors: | BRDYS, M. A. ABDULLAH, N. ROBERTS, P. D. |
| Affiliation: | Department of Electronic and Electrical Engineering, The University of Birmingham PO Box 363, Birmingham B15 2TT, UK Department of Chemical and Process Engineering, The National University of Malaysia 43600 Bangi, Selangor, Malaysia Control Engineering Centre, Department of Electrical, Electronic and Information Engineering, City University Northampton Square, London EC1V OHB |
| Abstract: | A hierarchical structure for on-line steady-state optimizingcontrol of interconnected systems is discussed which utilizesthe available mathematical model more efficiently than in previoustechniques, in spite of large model-reality differences. Thestructure is of an iterative type and uses both the mathematicalmodel of the system and the system output measurements. Thestructure produces a control which satisfies necessary optimalityconditions, provided that the system mathematical model is point-parametric.Several iterative strategies for finding a solution are presented.The strategies are compared with respect to their applicability,the total number of set-point changes needed to find solution,and the amount of information exchanged between control unitsand process during iterations. |
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