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A distributionally robust optimization approach to two-sided chance-constrained stochastic model predictive control with unknown noise distribution
In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of multiple two-sided chance constrained discrete-time linear systems corrupted by additive noise. The prevalent mechanism to cope with two-sided chance constraints is th...
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Main Authors: | , , , |
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Format: | Default Article |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/25233655.v1 |
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