Stability analysis of linear time-invariant dynamic systems using the matrix sign function and the Adomian decomposition method

被引:8
|
作者
Fatoorehchi, Hooman [1 ,2 ]
Djilali, Salih [3 ,4 ]
机构
[1] Univ Tehran, Coll Engn, Sch Chem Engn, POB 11365-4563, Tehran, Iran
[2] Univ Duisburg Essen, Ctr Nanointegrat Duisburg Essen CENIDE, D-47057 Duisburg, Germany
[3] Univ Tlemcen, Lab Anal Non Lineaire & Math Appl, Tilimsen, Algeria
[4] Hassiba Benbouali Univ, Fac Exact Sci & Informat, Dept Math, Chlef, Algeria
关键词
BIBO stability; Eigenvalue separation; Adomian decomposition method; Process control; COMPUTATION; CONVERGENCE; TRANSFORMS; INVERSION; ALGORITHM; EQUATIONS; STATE;
D O I
10.1007/s40435-022-00989-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The assessment of the bounded-input bounded output (BIBO) stability of a dynamic system is of paramount importance in the process control theory and practice. In this paper, we have developed a BIBO stability analysis method for linear time-invariant systems on the basis of Howland's eigenvalue separation theorem, which involves the matrix sign function, and the Adomian decomposition method. Our proposed method is conceptually convenient and merely requires matrix addition and multiplication. Furthermore, our method eliminates the need for the availability of the system's characteristic equation, is devoid of any graphical representation, and does not involve the accustomed set of defined rules in the previous approaches. The method's convergence analysis is presented, and its application is demonstrated through five real-world case studies. Based on a CPU-time analysis, it is demonstrated that the proposed method is computationally superior to the classical Routh-Hurwitz stability test and its efficiency is almost unaffected by the size of the system matrix.
引用
收藏
页码:593 / 604
页数:12
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