| 引用本文: | 慕德俊 戴冠中.基于状态空间模型广义预测控制的并行算法[J].控制理论与应用,1995,12(5):646~652.[点击复制] |
| MU Dejun and DAI Guanzhong.Parallel Algorithms for the Generalized Predictive Control Based on State-Space Model[J].Control Theory and Technology,1995,12(5):646~652.[点击复制] |
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| 基于状态空间模型广义预测控制的并行算法 |
| Parallel Algorithms for the Generalized Predictive Control Based on State-Space Model |
| 摘要点击 865 全文点击 486 投稿时间：1994-05-05 修订日期：1994-10-31 |
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| DOI编号 |
| 1995,12(5):646-652 |
| 中文关键词 系统辨识 广义预测控制 并行算法 systolic阵列 |
| 英文关键词 parameter estimation generalized predictive control systolic array parallel algorithm. |
| 基金项目 |
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| 中文摘要 |
| 本文首先基于脉动（Systolic）阵列结构，提出了一种实时参数辨识的并行算法，然后推导出基于状态空间模型广义预测控制（GPC）的两种新算法，这两种算法都可以通过阵列结构并行实现。 |
| 英文摘要 |
| In this paper, an efficient algorithm and Systolic architecture are proposed for parameter estimation. Two algorithms and Systolic architectures for the generalized predictive control （GPC）based state-space model are developed. A new recursive solution of GPC is developed, in which the control input can be obtained recursively from discrete Riccati equation. The recursive algorithm can be implemented by a small size of array. Another algorithm is mapped to a set of two dimensions arrays for computing predictive control and output. The analysis shows that the methods have high degree of parallelism. |