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Approximate Robust Control of Uncertain Dynamical Systems

2019-03-01
Edouard Leurent (SEQUEL, NON-A-POST), Yann Blanco, Denis Efimov (NON-A-POST), Odalric-Ambrym Maillard (SEQUEL)

Abstract

This work studies the design of safe control policies for large-scale non-linear systems operating in uncertain environments. In such a case, the robust control framework is a principled approach to safety that aims to maximize the worst-case performance of a system. However, the resulting optimization problem is generally intractable for non-linear systems with continuous states. To overcome this issue, we introduce two tractable methods that are based either on sampling or on a conservative approximation of the robust objective. The proposed approaches are applied to the problem of autonomous driving.

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URL

http://arxiv.org/abs/1903.00220

PDF

http://arxiv.org/pdf/1903.00220


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