Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72546
Title: Control system design automation with robust tracking thumbprint performance using a multi-objective evolutionary algorithm
Authors: Tan, K.C. 
Lee, T.H. 
Khor, E.F.
Issue Date: 1999
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
URI: http://scholarbank.nus.edu.sg/handle/10635/72546
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