Model Reduction Method based on Rational Canonical form of System Matrix and Krylov Subspace

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Gao, Zunhai^1 ; Chen, Zhuo^2

School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan

430048, China^1

School of Economics and Management, Wuhan Polytechnic University, Wuhan

430048, China^2

关键词: Krylov sub spaces;    Krylov subspace method;    Model reduction method;    Original systems;    Projection method;    Reduced systems;    Single input and single outputs;    Time invariants;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012045/pdf
DOI  :  10.1088/1757-899X/466/1/012045

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

For single input and single output time-invariant linear system, a new projection method to obtain reduced models is presented by making use of the rational canonical form of system matrix and the Krylov subspace. At first, the system matrix is transformed to its rational canonical form by use of linear transformation. And then both projection method and Krylov subspace method are used to reduce model. The advantage of this method is the poles of the reduced system are same as those of the original. Thus the reduced system remains the stability when the original system is. This method is more effective than simple Krylov subspace method. Numerical examples demonstrate the effectiveness of the method.