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- W2293855512 abstract "Comparing to LCO-DMPC, both the predictive model and the optimization problem of cooperative DMPC (C-DMPC) are different from that of LCO-DMPC. To design a constraint C-DMPC which guarantees the stability of closed-loop system is an interesting problem discussed in this chapter. Here, a stabilizing C-DMPC where each subsystem-based MPC only communicates with the other subsystems once a sampling time is proposed. Every distributed MPC law is updated globally synchronously. The implementation here is considered a dual-mode distributed MPC algorithm. The chapter formulates the optimization problem for each subsystem-based MPC. In the analysis presented in the chapter, it is shown that tightening the terminal set is required to guarantee the feasibility properties. It analyses the feasibility and stability of C-DMPC algorithm. The simulations illustrate that the performance of global system under that control of proposed method is very close to that under the control of centralized MPC." @default.
- W2293855512 created "2016-06-24" @default.
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- W2293855512 date "2015-08-07" @default.
- W2293855512 modified "2023-10-14" @default.
- W2293855512 title "Cooperative Distributed Predictive Control with Constraints" @default.
- W2293855512 doi "https://doi.org/10.1002/9781118921579.ch9" @default.
- W2293855512 hasPublicationYear "2015" @default.
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