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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