2005
DOI: 10.1016/j.na.2004.09.046
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Methods for determination and approximation of the domain of attraction

Abstract: In this paper, an R-analytical function and the sequence of its Taylor polynomials (which are Lyapunov functions different from those of Vanelli & Vidyasagar (1985, Automatica, 21(1):6 9-80)) is presented, in order to determine and approximate the domain of attraction of the exponentially asymptotically stable zero steady state of an autonomous, R-analytical system of differential equations. The analytical function and the sequence of its Taylor polynomials are constructed by recurrence formulae using the coe… Show more

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Cited by 26 publications
(22 citation statements)
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References 5 publications
(14 reference statements)
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“…For V p , we have the following results (see [13]): Theorem 4. For any p ≥ 2, there exists r p > 0 such that for any x ∈B(r p ) \ {0} one has:…”
Section: The Lyapunov Function For the Endemic Equilibriummentioning
confidence: 99%
“…For V p , we have the following results (see [13]): Theorem 4. For any p ≥ 2, there exists r p > 0 such that for any x ∈B(r p ) \ {0} one has:…”
Section: The Lyapunov Function For the Endemic Equilibriummentioning
confidence: 99%
“…After each change there is a transition process with duration of t i ðsÞ; at the end of which the crystal radius and the meniscus height become constant again [36]. These values are presented in Table 4.…”
Section: Simulation Of Effects Of Changes Of Pressure During Growth Omentioning
confidence: 99%
“…Since 1985, some important approaches on attraction domain estimation were presented [6][7][8]. Under the assumption of diagonalizability of Jacobian matrix at the equilibrium point, the optimal Lyapunov function method was proposed by Kaslik and Balint [8], which provides a way in approximating the attraction domain.…”
Section: Introductionmentioning
confidence: 99%
“…Under the assumption of diagonalizability of Jacobian matrix at the equilibrium point, the optimal Lyapunov function method was proposed by Kaslik and Balint [8], which provides a way in approximating the attraction domain. In 2009, an iterative expansion approach for improving the approximation of attraction domain was presented [9].…”
Section: Introductionmentioning
confidence: 99%
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