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- W2016503052 abstract "In recent years there has been much research performed in developing Distributed Model Predictive Control (DMPC) techniques which allow a Model Predictive Control (MPC) scheme to be distributed amongst a number of agents. By optimizing the weights in an MPC system, performance can be improved. In this paper, a PSO based weight optimization method for a DMPC system is developed and it is shown how DMPC performance can be optimized whilst constraining the number of iterations of the optimization algorithm." @default.
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- W2016503052 modified "2023-09-26" @default.
- W2016503052 title "Improving Distributed Model Predictive Control Performance Via Weight Optimization using PSO" @default.
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- W2016503052 doi "https://doi.org/10.3182/20090921-3-tr-3005.00032" @default.
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