Title :
Optimum Order Estimation of Reduced Macromodels Based on a Geometric Approach for Projection-Based MOR Methods
Author :
Nouri, Behzad ; Nakhla, Michel S. ; Achar, Ramachandra
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, ON, Canada
Abstract :
Estimation of the optimal order of reduced models in existing macromodeling techniques is a challenging task and is often based on heuristics. In this paper, a new algorithm is described for estimating the minimum acceptable order for reduced models of linear systems to ensure accurate as well as efficient transient behavior. The precise determination of the optimum order for a reduced system is based on evaluation of the number of false nearest neighbors.
Keywords :
estimation theory; linear network analysis; linear systems; network synthesis; reduced order systems; acceptable order; false nearest neighbors; geometric approach; linear systems; macromodeling techniques; optimal order estimation; optimum order estimation; projection-based MOR methods; reduced macromodels; reduced models; reduced system; transient behavior; False nearest neighbor (FNN); linear network analysis; macromodeling; neighborhood range; order estimation; parallel processing; projection; reduced-order models;
Journal_Title :
Components, Packaging and Manufacturing Technology, IEEE Transactions on
DOI :
10.1109/TCPMT.2013.2259167
