Enhancing Model Order Reduction for Nonlinear Analog Circuit Simulation

@article{Aridhi2016EnhancingMO,
  title={Enhancing Model Order Reduction for Nonlinear Analog Circuit Simulation},
  author={Henda Aridhi and Mohamed H. Zaki and Sofi{\`e}ne Tahar},
  journal={IEEE Transactions on Very Large Scale Integration (VLSI) Systems},
  year={2016},
  volume={24},
  pages={1036-1049}
}
Traditionally, model order reduction methods have been used to reduce the computational complexity of mathematical models of dynamic systems, while preserving their functional characteristics. This technique can also be used to fasten analog circuit simulations without sacrificing their highly nonlinear behavior. In this paper, we present an iterative approach for reducing the computational complexity of nonlinear analog circuits using piecewise linear approximations, k-means clustering, and… CONTINUE READING