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On Design of Aggregation Based Robust Model Predictive Controller for System with Bounded Disturbances

机译:有界扰动系统基于聚集的鲁棒模型预测控制器设计

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For the constrained linear system with bounded disturbances, a robust model predictive controller ABRPC is present in this paper. Referring to the efficient robust predictive control (ERPC) and adopting the invariant set of the bounded disturbances to deal with the disturbances, the ABRPC deals with the bounded disturbances reasonably, reduces the on-line computational cost and guarantees its control quality. The feasibility and robustly stability of ABRPC is proved in this paper. Finally, a simulation example is present to verify its validity.
机译:对于有界扰动的约束线性系统,本文提出了一种鲁棒的模型预测控制器ABRPC。 ABRPC参照高效鲁棒预测控制(ERPC)并采用有界扰动的不变集合来处理扰动,合理地处理了有界扰动,降低了在线计算成本并保证了其控制质量。本文证明了ABRPC的可行性和鲁棒性。最后,给出一个仿真示例以验证其有效性。

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