Quadratic Stability of Non-Linear Systems Modeled with Norm Bounded Linear Differential Inclusions

被引:2
|
作者
Rehman, Mutti-Ur [1 ,2 ]
Alzabut, Jehad [3 ]
Hyder, Arfan [1 ]
机构
[1] Sukkur IBA Univ, Dept Math, Sukkur 65200, Pakistan
[2] MIT, Dept Chem Engn, Cambridge, MA 02139 USA
[3] Prince Sultan Univ, Dept Math & Gen Sci, Riyadh 11586, Saudi Arabia
来源
SYMMETRY-BASEL | 2020年 / 12卷 / 09期
关键词
quadratic stability; Lyapunov function; gradient system of ODE’ s; bounded linear differential inclusion; TIME; STABILIZATION;
D O I
10.3390/sym12091432
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this article we present an ordinary differential equation based technique to study the quadratic stability of non-linear dynamical systems. The non-linear dynamical systems are modeled with norm bounded linear differential inclusions. The proposed methodology reformulate non-linear differential inclusion to an equivalent non-linear system. Lyapunov function demonstrate the existence of a symmetric positive definite matrix to analyze the stability of non-linear dynamical systems. The proposed method allows us to construct a system of ordinary differential equations to localize the spectrum of perturbed system which guarantees the stability of non-linear dynamical system.
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页数:11
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