Convergence and optimality of modified two-step algorithm for integrated system optimization and parameter estimation
作者:
M. BRDYŚ,
P. D. ROBERTS,
期刊:
International Journal of Systems Science
(Taylor Available online 1987)
卷期:
Volume 18,
issue 7
页码: 1305-1322
ISSN:0020-7721
年代: 1987
DOI:10.1080/00207728708967111
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper investigates convergence and optimality properties of the modified two-step algorithm for on-line determination of the optimum steady-state operating point of an industrial process. Mild sufficient conditions are derived for the convergence and feasibility of the algorithm. It is shown that every point within the solution set of the algorithm satisfies first-order necessary conditions for optimality, and that every optimal solution belongs to this set. It is also shown that there are advantages to be gained by using a linear mathematical model of the process within the implementation of the algorithm.
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