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For a large-scale distributed system, distributed model predictive control (DMPC) is a method of choice because of its ability to explicitly accommodate constraints and to achieve good dynamic performance. In the design of a DMPC, guaranteeing stability with a strong global performance is known to be a challenge. In this paper, we consider a large-scale distributed system whose input is constrained...
This paper investigates the problem of model predictive control for networked multirate control systems (NMCSs) with the output sampling period several times larger than the input updating period. Both sensor-to-controller and controller-to-actuator network-induced delays are considered and are assumed to be upperbounded by one output sampling period. Firstly, using a modified multirate model predictive...
A hierarchical multiple models direct adaptive decoupling controller is designed to solve the problem such as too many models, long computing time and so on. The best model is searched in each level according to the switching index and fixed model set is set up in next level dynamically. By the choice of the weighting polynomial matrix, it not only eliminates the steady output error, places the poles...
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