2017
DOI: 10.1016/j.automatica.2017.01.010
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Nonlinear impulsive systems: 2D stability analysis approach

Abstract: This paper contributes to the stability analysis for nonlinear impulsive dynamical systems based on a vector Lyapunov function and its divergence operator. The new method relies on a 2D time domain representation. Different types of stability notions for a class of nonlinear impulsive systems are studied using a vector Lyapunov function approach. The results are applied to analyze the stability of a class of Lipschitz nonlinear impulsive systems based on Linear Matrix Inequalities. Some numerical examples illu… Show more

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Cited by 16 publications
(7 citation statements)
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“…Passivation-based arguments are also used in Forni et al [2011]. Stability analysis for nonlinear systems involving some resetting action at fixed time instants was also provided in Rios et al [2017].…”
Section: An Overview Of Recent Reset Systems Resultsmentioning
confidence: 99%
“…Passivation-based arguments are also used in Forni et al [2011]. Stability analysis for nonlinear systems involving some resetting action at fixed time instants was also provided in Rios et al [2017].…”
Section: An Overview Of Recent Reset Systems Resultsmentioning
confidence: 99%
“…In the present section some definitions and results for the stability of impulsive systems, in the framework of 2D systems, are introduced (see [26] and [27]).…”
Section: Stability Analysis For Impulsive Systemsmentioning
confidence: 99%
“…Therefore, the matrix Ξ 2 (Θ) can be upper estimated as Ξ 2 (Θ) ≤ Ξ 3 (Θ), where Ξ 3 (Θ), is defined by Ξ 3 (Θ) =   Ψ 1 (Θ)P (3)P (4) − Therefore, the LMI (27) is obtained when all the elements of Ξ 3 (Θ) are merged, and one conclude that if the set of LMIs (27) and (29) is feasible then Υ 1 (Θ) ≤ 0.…”
Section: Proof Of Propositionmentioning
confidence: 99%
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“…In this context, the available studies are almost exclusively focused on stability analysis and stabilization methods. The current literature provides some results about stability analysis for nonlinear impulsive systems based on discontinuous Lyapunov functions [6], switched Lyapunov functions and LMIs [7], average impulse interval [8], 2D time domain representation and vector Lyapunov functions [9]. The design of stabilizing feedbacks is investigated in [7] and optimal control problems for nonlinear impulsive systems are discussed in [3].…”
Section: Introductionmentioning
confidence: 99%