Two Modified Iterative Rational Krylov Algorithms for Optional H2 Model Reduction
We develop a new method to generate a first-order Krylov real subspace efficiently. The computational complexity can be reduced almost half compared with the existing methods. Using the new method, we propose two modified iterative algorithms for optimal H2 model reduction, which keep the same good properties as the original ones, such as the optimal H2 solution, stability or first-order necessary conditions for H2 optimality. Both of the algorithms are numerically effective and suited for large-scale problem, which can be verified in the numerical example.
Model reduction H2 approzimation Rational Krylov Interpolation
Yue An Chuan-Qing Gu
Department of Mathematics, Shanghai University, Shanghai ,China 200466
国际会议
The Third International Workshop on Applied Matriz Theory(第三届国际矩阵分析与应用会议)
杭州
英文
445-448
2009-07-09(万方平台首次上网日期,不代表论文的发表时间)