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    魏峰, 邹涛, 于浩, 林云峰. 双层结构预测控制计算复杂度分析[J]. 华东理工大学学报(自然科学版), 2013, (1): 102-107.
    引用本文: 魏峰, 邹涛, 于浩, 林云峰. 双层结构预测控制计算复杂度分析[J]. 华东理工大学学报(自然科学版), 2013, (1): 102-107.
    WEI Feng, ZOU Tao, YU Hao, LIN Yun-feng. Computational Complexity Analysis of Two Layered Predictive Control[J]. Journal of East China University of Science and Technology, 2013, (1): 102-107.
    Citation: WEI Feng, ZOU Tao, YU Hao, LIN Yun-feng. Computational Complexity Analysis of Two Layered Predictive Control[J]. Journal of East China University of Science and Technology, 2013, (1): 102-107.

    双层结构预测控制计算复杂度分析

    Computational Complexity Analysis of Two Layered Predictive Control

    • 摘要: 在大规模系统在线实施中,双层结构预测控制计算存在复杂度较高、在线求解时间较长的缺陷,从而限制了它的求解效率。通过对稳态目标层和动态控制层的计算复杂度理论分析以及仿真验证,得出影响算法求解效率的主要因素为系统控制输入数和控制时域,且算法的时间复杂度正比于控制输入数和控制时域乘积的三次方。为双层结构预测控制在工程设计中的应用提供了有益的参考。

       

      Abstract: Two layered predictive control have high on line complexity and long on line solving time on large scale systems. Through theoretical analysis of computational complexity and implementation of simulation for the steady state target calculation(SSTC) layer and the dynamic matrix control(DMC) layer, it is concluded that control inputs’ numbers and control horizon are the main factors that affect algorithm’s computational efficiency, and the desired algorithm’s time complexity is proportional to the cube of product of control inputs’ numbers and control horizon. And it is valuable to controller’ design in industry process.

       

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