Robust Distributed Model Predictive Control

Distributed Model Predictive Control (DMPC) has emerged as an efficient alternative to address advanced control of a large scale integrated system. This project aims at analyzing robustness properties of the DMPC and developing design strategies to ensure/guarantee robustness. The project will use some principles from graph theory, advanced control and can have some experimental component based on student interest. 

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