An improved stability criterion for a class of Lur'e systems

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An improved stability criterion for a class of Lur'e systems. / Li, G.; Heath, W.P.; Lennox, B.
In: Automatica, Vol. 51, 01.01.2015, p. 4483-4488.

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Li G, Heath WP, Lennox B. An improved stability criterion for a class of Lur'e systems. Automatica. 2015 Jan 1;51:4483-4488. Epub 2014 Nov 6. doi: 10.1016/j.automatica.2014.10.098

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Li, G. ; Heath, W.P. ; Lennox, B. / An improved stability criterion for a class of Lur'e systems. In: Automatica. 2015 ; Vol. 51. pp. 4483-4488.

RIS

TY - JOUR

T1 - An improved stability criterion for a class of Lur'e systems

AU - Li, G.

AU - Heath, W.P.

AU - Lennox, B.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - This paper introduces an improved stability criterion for discrete-time Lur’e systems with sector- and slope-restrictions. For the stability criterion, a Lur’e Lyapunov functional candidate is constructed to include quadratic terms and integration terms with nonlinearities. To handle the resulting integration terms in the Lyapunov difference, there is proposed a new bound lemma where the integration terms are relaxed into the second-order terms by the geometric point of view. In addition, an appropriate weighting method uses slack variables from the sector- and slope-restrictions. In the overall derivation, the stabilization condition is formulated in terms of a parameterized linear matrix inequality (PLMI), which is then converted into the linear matrix inequality. An example illustrates that the proposed criterion presents a less conservative result than the previous criteria in the literature.

AB - This paper introduces an improved stability criterion for discrete-time Lur’e systems with sector- and slope-restrictions. For the stability criterion, a Lur’e Lyapunov functional candidate is constructed to include quadratic terms and integration terms with nonlinearities. To handle the resulting integration terms in the Lyapunov difference, there is proposed a new bound lemma where the integration terms are relaxed into the second-order terms by the geometric point of view. In addition, an appropriate weighting method uses slack variables from the sector- and slope-restrictions. In the overall derivation, the stabilization condition is formulated in terms of a parameterized linear matrix inequality (PLMI), which is then converted into the linear matrix inequality. An example illustrates that the proposed criterion presents a less conservative result than the previous criteria in the literature.

U2 - 10.1016/j.automatica.2014.10.098

DO - 10.1016/j.automatica.2014.10.098

M3 - Article

VL - 51

SP - 4483

EP - 4488

JO - Automatica

JF - Automatica

ER -