2010
DOI: 10.1016/j.camwa.2009.08.003
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LMI stability conditions for fractional order systems

Abstract: International audienceAfter an overview of the results dedicated to the stability of systems described by differential equations involving fractional derivatives also denoted fractional order systems, this paper deals with Linear Matrix Inequality (LMI) stability conditions for fractional order systems. Under commensurate orders hypothesis, it is shown that a direct extension of the second Lyapunov's method is a tedious task. If the fractional order ν is such that 0 < v < 1, the stability domain is not a conve… Show more

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Cited by 394 publications
(201 citation statements)
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“…Note that the conditions given in Lemma 3.1 are equivalent to those given in Sabatier et al (2010b) and Farges et al (2010). Figure 1 shows the stable and unstable regions of the complex plane for 0 < α < 1.…”
Section: Stability Results For Fractional-order Dynamic Systemsmentioning
confidence: 97%
“…Note that the conditions given in Lemma 3.1 are equivalent to those given in Sabatier et al (2010b) and Farges et al (2010). Figure 1 shows the stable and unstable regions of the complex plane for 0 < α < 1.…”
Section: Stability Results For Fractional-order Dynamic Systemsmentioning
confidence: 97%
“…Lemma 4 [11] . The fractional order system D α x(t) = Ax(t) is stable if and only if either one of the following two statements holds:…”
Section: Preliminariesmentioning
confidence: 99%
“…This class of systems has been found many applications in the fields such as fractional-order biological system [7], fractional electrical networks [8][9], robotics [10], fractional-order Ch-uas circuit [11] and so on, fractional calculus is more feasible than integer calculations to model the behavior of such systems There have been many interesting results on fractional order systems. In [12,13], necessary and sufficient conditions for stability of fractional order systems were obt-ained by virtue of linear matrix inequalities. [14] considered the robust stability and stabilization of fractional-order linear systems with polytopic uncertainties.…”
Section: Introductionmentioning
confidence: 99%