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Decentralized predictive control for tracking constant references

机译:分散的预测控制,用于跟踪常量参考

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This paper describes a novel Decentralized Predictive Control (DePC) technique for tracking constant reference signals. The controlled system is supposed to be constituted by a set of non-overlapping subsystems coupled by states and inputs. First the offset-free tracking problem is recast as a regulation one by reformulating the plant model in the so-called “velocity-form”; secondly the decentralized control problem is solved by resorting to “tube-based” robust MPC, where dynamic interactions between subsystems are interpreted as perturbations to be rejected. Convergence results are reported and a simulation example is provided to evaluate the performances of DePC.
机译:本文介绍了一种用于跟踪恒定参考信号的新型分散预测控制(DePC)技术。假定受控系统由一组由状态和输入耦合的不重叠子系统组成。首先,通过以所谓的“速度形式”重新构造工厂模型,将无偏移跟踪问题重新定义为一种规则。其次,通过采用“基于管的”鲁棒MPC解决分散控制问题,其中子系统之间的动态交互被解释为要被拒绝的扰动。报告了收敛结果,并提供了一个仿真示例来评估DePC的性能。

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