2015
DOI: 10.1515/ms-2015-0040
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On the Ψ-Strong Stability of Nonlinear Lyapunov Matrix Differential Equations

Abstract: The paper provides (necessary and) sufficient conditions for Ψ-strong stability of the trivial solution of a linear Lyapunov matrix differential equations. Further, sufficient condition are obtained for Ψ-strong stability of the trivial solution of a nonlinear Lyapunov matrix differential equation.

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Cited by 4 publications
(8 citation statements)
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References 7 publications
(9 reference statements)
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“…It follows that the system (10) is I n ⊗ Ψ− exponentially asymptotically stable on R + and I n ⊗ Ψ− strongly stable on R + . Now, from Lemma 2.1 and Lemma 2.7, [6], it results that the equation (3) is Ψ− exponentially asymptotically stable on R + and Ψ− strongly stable on R + .…”
Section: ψ− Exponential Asymptotic Stability Of the Linear Lyapunov Mmentioning
confidence: 93%
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“…It follows that the system (10) is I n ⊗ Ψ− exponentially asymptotically stable on R + and I n ⊗ Ψ− strongly stable on R + . Now, from Lemma 2.1 and Lemma 2.7, [6], it results that the equation (3) is Ψ− exponentially asymptotically stable on R + and Ψ− strongly stable on R + .…”
Section: ψ− Exponential Asymptotic Stability Of the Linear Lyapunov Mmentioning
confidence: 93%
“…Remark 2.1. The definitions of various types of Ψ− stability on R + for a vector differential equation (6) was given in [5], [6], [7].…”
Section: Preliminariesmentioning
confidence: 99%
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“…Sufficient conditions for Ψ− conditional asymptotic stability of equations (4) and (9) are given in the following theorems.…”
Section: ψ− Conditional Asymptotic Stability Of Linear Matrix Differementioning
confidence: 99%
“…If the linear equation 4is only Ψ− conditionally asymptotically stable on R + , then the perturbed equation 9can't be Ψ− conditionally asymptotically stable on R + . This is shown by the Example 3.8, [5], adapted to linear matrix differential equation 4and (9).…”
Section: ψ− Conditional Asymptotic Stability Of Linear Matrix Differementioning
confidence: 99%