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混合加权连续预测控制研究

Mixed weights continuous-time generalized predictive control
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摘要 针对工业过程常见的约束现象,引入混合加权算法,把约束条件考虑到连续预测控制指标函数中,提出了混合加权连续预测控制,与二次规划算法相比,混合加权算法具有计算量小,收敛速度较快的优点,并可以处理无约束可行解的情况,改善了连续预测控制系统在约束条件下的性能。 To solve the constraint problems, this paper gives MW - CGPC by introducing mixed weights algorithm, which considers constrains into cost function of CGPC. Mixed weights method is usually superior to QP for low calculating loads and high speed convergence, which can deal with cases without optireal constraint result and improve the performance of constraint systems.
出处 《电机与控制学报》 EI CSCD 北大核心 2005年第6期593-595,599,共4页 Electric Machines and Control
关键词 连续广义预测控制 二次规划 混合加权 约束 CGPC QP mixed weights constrained
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参考文献9

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