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Augmented integrated system optimisation and parameter estimation technique: derivation, optimality and convergence

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3 Author(s)
M. Brdy┬┐ ; City University, Control Engineering Centre, School of Electrical Engineering and Applied Physics, London, UK ; J. E. Ellis ; P. D. Roberts

An improved algorithm is derived for obtaining and maintaining the correct optimal steady-stateoperation of an industrial process, inspite of deficiencies in the mathematical model employed within the optimisation procedure. An augmented Lagrangian technique is employed to extend a previous method which iterates between successive solutions of parameter estimation and modified system optimisation. Optimality and convergence conditions are given, and the paper includes a detailed proof of convergence based on Zangwill's approach. The practical utility of the algorithm is demonstrated on a pilot-scale chemical vaporiser plant, where its performance is compared with previous methods.

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IEE Proceedings D - Control Theory and Applications  (Volume:134 ,  Issue: 3 )