An Identification Method Based on the Improved NLJ Algorithm and Its Application
The accurate model is the most important and basic condition for the application of advanced process control, but the conventional methods do not provide satisfactory results in the case of unstable processes. To effectively control these processes, a novel identification method (Model Parameters an...
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Published in | Chinese journal of chemical engineering Vol. 15; no. 1; pp. 88 - 91 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.02.2007
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Subjects | |
Online Access | Get full text |
ISSN | 1004-9541 2210-321X |
DOI | 10.1016/S1004-9541(07)60038-X |
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Abstract | The accurate model is the most important and basic condition for the application of advanced process control, but the conventional methods do not provide satisfactory results in the case of unstable processes. To effectively control these processes, a novel identification method (Model Parameters and Initial States Identification simultaneously in closed loop --MPISI) is proposed. The model parameters and initial states of state equation can be simultaneously identified using this method. The results of simulation and application show that this method has the advantageous of disturbance-rejection and robustness. This method proposes a novel way for the optimization and the advanced control of the process systems. |
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AbstractList | The accurate model is the most important and basic condition for the application of advanced process control, but the conventional methods do not provide satisfactory results in the case of unstable processes. To effectively control these processes, a novel identification method (Model Parameters and Initial States Identification simultaneously in closed loop --MPISI) is proposed. The model parameters and initial states of state equation can be simultaneously identified using this method. The results of simulation and application show that this method has the advantageous of disturbance-rejection and robustness. This method proposes a novel way for the optimization and the advanced control of the process systems. The accurate model is the most important and basic condition for the application of advanced process control, but the conventional methods do not provide satisfactory results in the case of unstable processes. To effectively control these processes, a novel identification method (Model Parameters and Initial States Identification simultaneously in closed loop -MPISI) is proposed. The model parameters and initial states of state equation can be simultaneously identified using this method. The results of simulation and application show that this method has the advantageous of disturbance-rejection and robustness. This method proposes a novel way for the optimization and the advanced control of the process systems. |
Author | 姜景杰 甄新平 李全善 魏环 靳其兵 潘立登 |
AuthorAffiliation | Automation Institute, Beijing University of Chemical Technology, Beijing 100029, China |
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Title | An Identification Method Based on the Improved NLJ Algorithm and Its Application |
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