西安电子科技大学学报（自然科学版）2012，Vol.39Issue(1)：62-66,121,6.DOI:10.3969/j.issn.1001-2400.2012.01.012
一种补偿宏模型无源性的快速凸优化方法
Fast convex optimization method for passivity enforcement of macromodels
摘要
Abstract
In the traditional convex optimization based method, the number of free variables is large, which will lead to demanding computations. Based on this consideration, a fast convex optimization method is proposed in this paper. The initial value of the energy matrix is determined before optimization with only some degrees of freedom. This procedure can reduce 60% of the number of free variables, which can greatly increase the efficiency of the method. Numerical examples show that the simulation time required by the proposed method is less than 1/30 that of the traditional method with high accuracy.关键词
信号完整性/宏模型/无源性补偿/代数Riccati方程/凸优化Key words
signal integrity/macromodel/passivity enforcement/algebraic Riccati equation/convex optimization分类
信息技术与安全科学引用本文复制引用
高崧,李玉山,闫旭..一种补偿宏模型无源性的快速凸优化方法[J].西安电子科技大学学报（自然科学版）,2012,39(1):62-66,121,6.基金项目
国家自然科学基金资助项目(60672027,60871072) （60672027,60871072）
教育部博士点基金资助项目(20050701002) （20050701002）
