Krylov subspace-based model-order reduction techniques for circuit simulations

This paper presents a circuit simulation method using Krylov subspace-based model-order reduction techniques. The method generates reduced-order models of large networks without explicitly calculating the moments. Low-rank approximate solutions of Lyapunov equations are used to obtain low-order models of distributed systems. These reduced-order models can be used for time and frequency response approximations of large networks. Illustrative examples are also given to study the computational efficiency and accuracy of the method.