| 引用本文: | 李嗣福.参数化模型预测空间实现及递推预测算法[J].控制理论与应用,1993,10(6):650~656.[点击复制] |
| LI Sifu.Prediction-Space Realization of Parametric Models and Recursive Predictive Algorithm[J].Control Theory and Technology,1993,10(6):650~656.[点击复制] |
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| 参数化模型预测空间实现及递推预测算法 |
| Prediction-Space Realization of Parametric Models and Recursive Predictive Algorithm |
| 摘要点击 785 全文点击 369 投稿时间：1992-06-17 |
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| DOI编号 |
| 1993,10(6):650-656 |
| 中文关键词 模型预测控制器 广义预测控制器 线性系统 |
| 英文关键词 MPC GPC linear systems |
| 基金项目 |
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| 中文摘要 |
| 本文给出线性时不变离散系统的参数化模型（CARMA和CARIMA）的预测空间实现的表达式，利用该表达式将传统的参数化模型预测算法化为状态空间递推形式，可大大减小参数化模型预测的在线计算量，为工程上实现自适应参数化模型预测控制带来很大方便。 |
| 英文摘要 |
| This paper presents expressions of Prediction-Space realization of parametric models (CARMA and CARIMA）for the linear time-invariant discrete systems. The system states are defined as the future predicted outputs of the control system. The conventional predictive algorithm in parametric model can be transferred into arecursive predictive algorithm in state-space form by means of the realization expressions, thus reducing substantially the amount of on-line computation to perform the prediction of the future outputs for the controlled system. It will certaintly be of great benefit in implementing adaptive parametric model predictive control in practice. |