Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2013.6564956
Title: A robust linear programming model for small signal stability of dynamic systems
Authors: Pang, C.K. 
Ng, T.S. 
Sy, C.L.
Issue Date: 2013
Source: Pang, C.K.,Ng, T.S.,Sy, C.L. (2013). A robust linear programming model for small signal stability of dynamic systems. IEEE International Conference on Control and Automation, ICCA : 1802-1807. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2013.6564956
Abstract: Many important dynamic systems operate in uncertain environments, and in many cases even small levels of noise can severely compromise their performance and stability. In this work, we propose a robust design approach to improve the performance of such systems. Our approach first specifies a set of linear constraints describing dynamic performance requirements based on pole position concepts. Next, a robust linear programming model is solved to yield a parameter design which achieves the performance requirements as well as possible under uncertainty. The effectiveness of our proposed approach is supported with computational studies on a Voice Coil Motor (VCM) in a commercial Hard Disk Drive (HDD). © 2013 IEEE.
Source Title: IEEE International Conference on Control and Automation, ICCA
URI: http://scholarbank.nus.edu.sg/handle/10635/51094
ISBN: 9781467347075
ISSN: 19483449
DOI: 10.1109/ICCA.2013.6564956
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