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Distributed Model Predictive Control by utellez03 is a document available to read on EtoBox.
What is Distributed Model Predictive Control about?
This paper discusses a stopping condition for distributed model predictive control (DMPC) that ensures feasibility, stability, and performance of the closed-loop system while minimizing communication between subsystems. The authors present a novel adaptive constraint tightening approach that allows for a reduction in the number of iterations needed for convergence. Numerical examples demonstrate the effectiveness of the proposed method compared to existing approaches.
- Author
- utellez03
- Language
- EN