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并行广义预测自校正控制器(GPC)
引用本文:胡海波,陈增强,袁著祉.并行广义预测自校正控制器(GPC)[J].系统工程与电子技术,1994(1).
作者姓名:胡海波  陈增强  袁著祉
作者单位:南开大学计算机与系统科学系!天津300071
基金项目:国家自然科学基金,天津21世纪青年科学基金
摘    要:本文旨在讨论GPC算法[1,2]的并行化问题,通过对原串行算法的数据流及数据相关性的分析,得到了一种三角阵列的并行算法。该算法自然导致Systolic结构,并具有良好的数值稳定性。对于一个 n阶系统而言,本算法采用O(n2)阶的处理器单元互连成三角阵列,可以把计算时间由原来的O(n3)阶(内积运算)时间提高到 O(n)阶,因而具有 O(n2)的加速比,其处理器的利用效率得到了很大提高。

关 键 词:预测  自适应控制  并行算法

Parallel Generalized Predictive Self--tuning Controller (GPC)
Hu Haibo,Chen Zengqiang and Yuan Zhuzhi Nankai University,Tianjing.Parallel Generalized Predictive Self--tuning Controller (GPC)[J].System Engineering and Electronics,1994(1).
Authors:Hu Haibo  Chen Zengqiang and Yuan Zhuzhi Nankai University  Tianjing
Institution:Hu Haibo,Chen Zengqiang and Yuan Zhuzhi Nankai University,Tianjing 300071
Abstract:In this paper, the parallel problem of GPC algorithm is discussed. By analyzing of the data flow and data correlation of the original string algorithm, we obtain a parallel algorithm of tringular matrix sequences. The algorithm results in the systolic structure, and it has excellent numerical stability. For a system of degree n, the algorithm uses the processor unit of degree O(n2) to link tringular matrix sequence. The computation time was decreased from O(n3) to O(n). So it has accelerated proportion of O(n2). The efficiency of the processor has increased greatly.
Keywords:Predictive control  Self--tuning control  Systolic structure  Faddeev algorithm  Parallel algorithm  
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