Run-to-run control with nonlinearity and delay uncertainty
06 16 Category : Delay systems | All
Authors: C.-H. Clerget, J.-P. Grimaldi, M. Chèbre, N. Petit, 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS-CAB 2016, pp. 145 - 152, June 6-8, 2016, Trondheim. DOI: 10.1016/j.ifacol.2016.07.231
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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BibTeX
@Proceedings{2017-01-23,
author = {C.-H. Clerget, J.-P. Grimaldi, M. Chèbre, N. Petit},
editor = {},
title = {Run-to-run control with nonlinearity and delay uncertainty},
booktitle = {11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS-CAB 2016},
volume = {},
publisher = {},
address = {Trondheim},
pages = {145 - 152},
year = {2016},
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.},
keywords = {Run-to-run control, data-sampled system, varying time delays, stability analysis}}
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.
Download PDF
BibTeX
@Proceedings{2017-01-23,
author = {C.-H. Clerget, J.-P. Grimaldi, M. Chèbre, N. Petit},
editor = {},
title = {Run-to-run control with nonlinearity and delay uncertainty},
booktitle = {11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS-CAB 2016},
volume = {},
publisher = {},
address = {Trondheim},
pages = {145 - 152},
year = {2016},
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.},
keywords = {Run-to-run control, data-sampled system, varying time delays, stability analysis}}