Low-Regret Control of a Nonlinear Hyperbolic Problem With Missing Data
- Biéliémi LAMIEN
- Sadou TAO
- Satafa SANOGO
Abstract
In this paper, we characterise the control of an ill-posed nonlinear evolution problem. More precisely, we study the low-regret control of a system governed by a hyperbolic operator by using the regularisation approach, which makes it possible to generate missing data. We obtain singular optimal systems characterising the low-regret control and the no-regret control of the hyperbolic problem.
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- DOI:10.5539/jmr.v18n1p37
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