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|Title:||Control system design automation with robust tracking thumbprint performance using a multi-objective evolutionary algorithm|
|Authors:||Tan, K.C. |
|Source:||Tan, K.C.,Lee, T.H.,Khor, E.F. (1999). Control system design automation with robust tracking thumbprint performance using a multi-objective evolutionary algorithm. Proceedings of the IEEE International Symposium on Computer-Aided Control System Design : 498-503. ScholarBank@NUS Repository.|
|Abstract:||This paper develops a multi-objective evolutionary based methodology for control system design automation of robust tracking thumbprint performances in QFT. Unlike conventional two-stage design approach, the technique is capable of evolving both nominal controller and pre-filter concurrently without the need of QFT bound computation and manual loop shaping procedure. It is shown that the method can easily accommodate practical soft/hard constraints and allows engineers to examine the different design trade-offs. Validation upon a benchmark QFT design problem illustrates the usefulness of the proposed methodology.|
|Source Title:||Proceedings of the IEEE International Symposium on Computer-Aided Control System Design|
|Appears in Collections:||Staff Publications|
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