Stability analysis and gain-scheduled state feedback control for continuous-time systems with bounded parameter variations

Abstract : The problems of robust stability analysis and state feedback control based on gain-scheduling for continuous-time systems with time-varying parameters that have bounded rates of variation and lie inside a polytope are addressed in this article. With respect to previous results in the literature, two main contributions of the article are: (i) the robust stability analysis conditions are less conservative and demand less computational effort than the existing ones; (ii) the conditions can be extended to cope with the problem of control design for this class of system. Parameter-dependent linear matrix inequality (LMI) conditions are given for the existence of a parameter-dependent Lyapunov function quadratic in the state and homogeneous polynomially of arbitrary degree in the parameter assuring robust stability. Two convex procedures based on LMIs exhibiting distinct complexities are proposed to solve the problem of robust stability. An extension to deal with the computation of a stabilising parameter-dependent state feedback gain for this class of time-varying systems is also provided, as a sequence of LMIs of increasing precision. Examples illustrate the results, including comparisons with other techniques from the literature.
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Article dans une revue
International Journal of Control, Taylor & Francis, 2009, 82 (6), pp.1045-1059. 〈10.1080/00207170802403750〉
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https://hal.inria.fr/hal-00793576
Contributeur : Brigitte Briot <>
Soumis le : vendredi 22 février 2013 - 15:37:35
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Vinícius F. Montagner, Ricardo Oliveira, Pedro L.D. Peres, Pierre-Alexandre Bliman. Stability analysis and gain-scheduled state feedback control for continuous-time systems with bounded parameter variations. International Journal of Control, Taylor & Francis, 2009, 82 (6), pp.1045-1059. 〈10.1080/00207170802403750〉. 〈hal-00793576〉

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