Bounded Backstepping Control and Robustness Analysis for Time-Varying Systems under Converging- Input-Converging-State Conditions * - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles European Journal of Control Year : 2018

Bounded Backstepping Control and Robustness Analysis for Time-Varying Systems under Converging- Input-Converging-State Conditions *

Abstract

We provide new bounded backstepping results that ensure global asymptotic stability for a large class of partially linear systems with an arbitrarily large number of integrators. We use a dynamic extension that contains one artificial delay, and a converging-input-converging-state assumption. When the nonlinear subsystem is control affine, we provide sufficient conditions for our converging-input-converging-state assumption to hold. We also show input-to-state stability with respect to a large class of model uncertainties, and robustness to delays in the measurements of the state of the nonlinear subsystem. We illustrate our result in a first example that has a nondifferentiable vector field and so is beyond the scope of classical backstepping, and then in a nonlinear example that illustrates how one can combine Lyapunov and trajectory based methods to check our assumptions.
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Dates and versions

hal-01848927 , version 1 (25-07-2018)

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Frédéric Mazenc, Michael Malisoff, Laurent Burlion, Jerome Weston. Bounded Backstepping Control and Robustness Analysis for Time-Varying Systems under Converging- Input-Converging-State Conditions *. European Journal of Control, 2018, 42, pp.15-24. ⟨10.1016/j.ejcon.2018.02.005⟩. ⟨hal-01848927⟩
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