Distributed stochastic MPC for systems with parameter uncertainty and disturbances
A distributed stochastic model predictive control (DSMPC) algorithm is proposed for multiple linear subsystems with both parameter uncertainty and stochastic disturbances, which are coupled via probabilistic constraints. To handle the probabilistic constraints, the system dynamics is first decompose...
| Autori principali: | , , , |
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| Natura: | Journal article |
| Pubblicazione: |
Wiley
2018
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