An overview of model reduction methods and a new result

@article{Antoulas2009AnOO,
  title={An overview of model reduction methods and a new result},
  author={Athanasios C. Antoulas},
  journal={Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference},
  year={2009},
  pages={5357-5361}
}
Model reduction methods can be classified in two broad categories, namely, SVD- (Singular Value Decomposition) based methods and Krylov-based or moment matching methods. As each one of these categories has advantages and disadvantages, a third category named SVD-Krylov aims to combine their best attributes. Balanced truncation (BT) falls into the first… CONTINUE READING