Robust Distributed Model Predictive Control Strategies of Chemical Processes
This work focuses on the robustness issues related to distributed model predictive control (DMPC) strategies in the presence of model uncertainty. The robustness of DMPC with respect to model uncertainty has been identified by researchers as a key factor in the successful application of DMPC. A firs...
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Language: | en |
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2010
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Online Access: | http://hdl.handle.net/10012/5503 |