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Model order reduction is an efficient technique to reduce the system complexity while producing a good approximation of the input-output behavior. However, the efficiency of reduction degrades as the number of ports increases, which remains a long-standing problem. The reason for the degradation is that existing approaches are based on a centralized framework, where each input-output pair is implicitly...
In this paper, we propose a new approach to enforcing the passivity of a reduced system of general passive linear time invariant circuits. Instead of making the reduced models passive for infinite frequencies, which is difficult and inefficient using state-of-the-art optimization based methods for circuits with many terminals and operating in wideband frequency ranges, the new method works on the...
In this paper, we propose a generalized block structure-preserving reduced order interconnect macromodeling method (BSPRIM). Our approach extends structure-preserving model order reduction (MOR) method SPRIM (Freund, 2004) into more general block forms. We first show how SPRIM-like structure-preserving MOR method can be extended to deal with admittance RLC circuit matrices and show the 2q moments...
In this paper, we present a novel passive model order reduction (MOR) method via projection-based truncated balanced realization method, PriTBR, for large RLC interconnect circuits. Different from existing passive truncated balanced realization (TBR) methods where numerically expensive Lur'e or algebraic Riccati (ARE's) equations are solved, the new method performs balanced truncation on linear system...
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