| 基于状态空间模型广义预测控制的并行算法 |
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| 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 |
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| 作者姓名： | 慕德俊 戴冠中 |
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| 作者单位： | 西北工业大学自动控制系 |
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| 摘 要： | 本文首先基于脉动阵列经，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的两种新算法，这两种算法都可以通过阵列结构并行实现。
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| 关 键 词： | 广义 预测控制 并行算法 systolic阵列 |
| 收稿时间： | 1994-05-05 |
| 修稿时间： | 1994-10-31 |
Parallel Algorithms for the Generalized Predictive Control Based on State-Space Model |
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| MU Dejun and DAI Guanzhong. Parallel Algorithms for the Generalized Predictive Control Based on State-Space Model[J]. Control Theory & Applications, 1995, 12(5): 646-652 |
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| Authors: | MU Dejun and DAI Guanzhong |
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| Affiliation: | Department of Automatic Control, Northwestern Polytechnical University |
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| Abstract: | 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. |
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| Keywords: | parameter estimation generalized predictive control systolic array parallel algorithm. |
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