Structure-Preserving Model Order Reduction of RCL Circuit Equations
نویسنده
چکیده
In recent years, order-reduction techniques based on Krylov subspaces have become the methods of choice for generating macromodels of large multi-port RLC circuits. Despite the success of these techniques and the extensive research efforts in this area, for general RCL circuits, the existing Krylov subspace-based reduction algorithms do not fully preserve all essential structures of the given large RCL circuit. In this paper, we describe the problem of structure-preserving model order reduction of general RCL circuits, and we discuss two state-of-the-art algorithms, PRIMA and SPRIM, for the solution of this problem. Numerical results are reported that illustrate the higher accuracy of SPRIM vs. PRIMA. We also mention some open problems.
منابع مشابه
The SPRIM Algorithm for Structure-Preserving Order Reduction of General RCL Circuits
In recent years, order-reduction techniques based on Krylov subspaces have become the methods of choice for generating macromodels of large-scale multi-port RCL networks that arise in VLSI circuit simulation. A popular method of this type is PRIMA. Its main features are provably passive reduced-order models and a Padé-type approximation property. On the other hand, PRIMA does not preserve other...
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تاریخ انتشار 2007