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Numerical methods for hybrid control and chance-constrained optimization problems

Abstract : This thesis is devoted to the analysis of numerical methods in the field of optimal control, and it is composed of two parts. The first part is dedicated to new results on the subject of numerical methods for the optimal control of hybrid systems, controlled by measurable functions and discontinuous jumps in the state variable simultaneously. The second part focuses on a particular application of trajectory optimization problems for space launchers. Here we use some nonlinear optimization methods combined with non-parametric statistics techniques. This kind of problems belongs to the family of stochastic optimization problems and it features the minimization of a cost function in the presence of a constraint which needs to be satisfied within a desired probability threshold.
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Submitted on : Thursday, August 10, 2017 - 4:45:05 PM
Last modification on : Wednesday, May 11, 2022 - 12:06:06 PM


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  • HAL Id : tel-01573840, version 1


Achille Sassi. Numerical methods for hybrid control and chance-constrained optimization problems. Probability [math.PR]. Université Paris-Saclay, 2017. English. ⟨NNT : 2017SACLY005⟩. ⟨tel-01573840⟩



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