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本文提出了脉动（Systolic）算法实现基于输入输出模型的参数辨识及广义预测自校正控制，给出了相应阵列结构并行实现这些算法，时序分析表明该方法可使广义预测自校正控制的实时性得到很大提高．
In this paper, a parametric identification and generalized predictive self-tuning control based on input-output model is proposed by using Systolic algorithm. The corresponding array structures are given to realize these algorithms in parallel. The time-series analysis shows that this method can get the real-time predictive control of generalized predictive self-tuning Greatly improved.