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Run-to-run control with nonlinearity and delay uncertainty

Abstract : In this paper, we study a simple single-input single output nonlinear system controlled by a Run-to-run algorithm. Besides the usually considered model uncertainty, the particularity of the system under consideration is that measurements available to the control algorithm suffer from large and varying measurement delays. The control algorithm is a nonlinear sampled model-based controller with successive model inversion and bias correction. The main contribution of this article is its proof of global convergence. In particular, the model error and the varying delays are treated using monotonicity of the system and a detailed analysis of the closed-loop behavior of the sampled dynamics, in an appropriate norm.
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Contributor : François Chaplais Connect in order to contact the contributor
Submitted on : Monday, January 23, 2017 - 6:14:02 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:04 PM


  • HAL Id : hal-01444267, version 1


Charles-Henri Clerget, Jean-Philippe Grimaldi, Mèriam Chèbre, Nicolas Petit. Run-to-run control with nonlinearity and delay uncertainty. 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS-CAB 2016, Jun 2016, Trondheim, Norway. pp.145 - 152. ⟨hal-01444267⟩



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