In the transmission line matrix (TLM) method the discretized electromagnetic model can be represented in a discrete state-space form. Such a representation usually involves very large numbers of state variables, up to several millions for practical applications. Reduced order modeling (ROM) yields considerable reduction in the computational effort required for the generation of the electromagnetic response. In addition, it can be used to generate compact models of the electromagnetic system. In this paper we apply Krylov subspace methods for model order redcution of TLM approximation, making use of the non-symmetric Lanczos algorithm. Using the shift-inverse approach in TLM-ROM we can selectively extract the resonance frequencies in a specific frequency band; thus, we can reduce the computational costs in comparison to those associated with the implementation of a general ROM approach. The advantages of the proposed methodology are demonstrated through its application to the simulation of a rectangular waveguide H-plane filter and a patch microstrip antenna.     «

In the transmission line matrix (TLM) method the discretized electromagnetic model can be represented in a discrete state-space form. Such a representation usually involves very large numbers of state variables, up to several millions for practical applications. Reduced order modeling (ROM) yields considerable reduction in the computational effort required for the generation of the electromagnetic response. In addition, it can be used to generate compact models of the electromagnetic system. In...     »