Distributed stochastic MPC of linear systems with additive uncertainty and coupled probabilistic constraints
This paper develops a new form of distributed stochastic model predictive control (DSMPC) algorithm for a group of linear stochastic subsystems subject to additive uncertainty and coupled probabilistic constraints. We provide an appropriate way to design the DSMPC algorithm by extending a centralize...
Main Authors: | , , , |
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Format: | Journal article |
Published: |
IEEE
2016
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