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.

Additional Metadata
Persistent URL dx.doi.org/10.1109/SPI.2011.5898835
Conference 2011 IEEE 15th Workshop on Signal Propagation on Interconnects, SPI 2011
Citation
Nouri, B. (Behzad), Nakhla, M.S, & Achar, R. (2011). A novel algorithm for optimum order estimation of reduced order macromodels. In 2011 IEEE 15th Workshop on Signal Propagation on Interconnects, SPI 2011 - Proceedings (pp. 33–36). doi:10.1109/SPI.2011.5898835