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- W2966099650 abstract "The invention discloses a globally coordinated distributed predictive control algorithm based on a system decomposition index. The algorithm comprises the steps of (S101) performing AP-CCA-based system decomposition according to system input and output data, obtaining a corresponding decomposition index Iij, and establishing a predictive model for each subsystem by using a least squares modeling method, (S102) allowing each subsystem to establish an optimal control problem by using the information of each subsystem and an associated subsystem, wherein the different influences of the associatedsubsystem on the system are expressed by a correlation coefficient between subsystems, (S103) obtaining input variables of the subsystem and the associated subsystem at a previous time from a globalinput variable set for each subsystem at a control time k, solving an optimization problem in (S102), and obtaining an optimal control law Delta ui, M(k) of each subsystem, (S104) weighting and calculating the actual application amount of each control variable by using Delta ui, M(k) in (S103) and Iij in (S101) and acting on a controlled object, and (S105) continuing the time to a time k+1, returning to (S103), and repeating the above process. According to the invention, the control is finer, and the effect is better." @default.
- W2966099650 created "2019-08-13" @default.
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- W2966099650 date "2019-01-01" @default.
- W2966099650 modified "2023-10-12" @default.
- W2966099650 title "Global Coordinated Distributed Predictive Control Algorithm Based on System Dynamic Decomposition Index" @default.
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- W2966099650 doi "https://doi.org/10.1109/access.2019.2948292" @default.
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