A New Algorithm for Model Order Reduction of Interval Systems
Journal Title: Bonfring International Journal of Data Mining - Year 2013, Vol 3, Issue 1
Abstract
Mixed method of interval systems is a combination of classical reduction methods and stability preserving methods of interval systems. This paper proposed a new method for model order reduction of systems with uncertain parameters. The bounds on the uncertain parameters are known a priori. Two separate methods are used for finding parameters of the numerator and denominator. The numerator parameters are obtained by either of these methods such as differentiation method, factor division method, cauer second form, moment matching method or Pade approximation method. The denominator is obtained by the differentiation method in all the cases. A numerical example has been discussed to illustrate the procedures. From the above mixed methods, differentiation method and cauer second form as resulted in better approximation when compared with other methods. The errors between the original higher order and reduced order models have also been highlighted to support the effectiveness of the proposed methods.
Authors and Affiliations
D. Kranthi Kumar , S. K. Nagar , J. P. Tiwari
Keywords
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- EP ID EP136697
- DOI 10.9756/BIJDM.10131
- Views 108
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