Sequence model approximation approach for optimization and control of steady-state systems
作者:
Z. Y. Liu,
P. D. Roberts,
期刊:
International Journal of Control
(Taylor Available online 1989)
卷期:
Volume 49,
issue 6
页码: 1895-1913
ISSN:0020-7179
年代: 1989
DOI:10.1080/00207178908559751
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A new approach—a sequence model approximation method—is proposed for determining the optimum steady-state operating point of an industrial process. The method makes full use of first-order information of reality to construct an approximate model which can match real output and the required derivatives of reality at each iteration. In order to ensure that the real objective index descends, the Newton step and a one-dimensional minimization search technique are then used respectively. The approach's convergence and optimality conditions are investigated under mild assumptions. Simulation results show that the new approach requires fewer set-point changes, and exhibits a higher convergent rate than previous methods in this field.
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